National Reconnaissance Office (NRO)
Chantilly, Virginia
Job Description Job Description: WE ARE THE NRO For sixty years, the NRO has developed, acquired, launched and operated the satellites that are the foundation for America's advantage and strength in space. Using a diversified architecture of spacecraft, NRO collects and delivers the best space-based intelligence, surveillance, and reconnaissance content on the planet. Learn more at NRO.gov.Basic Eligibility For A Position With The NRO U.S. Citizenship is required You must be able to obtain and maintain a TS/SCI security clearance You will be subject to pre-employment and periodic drug testing You will be subject to pre-employment and periodic polygraph examinations Where You Will Work Do you enjoy designing, creating, and exploring possibilities? Are you a recently graduated or a candidate for a STEM Doctorate degree (within the next 6 months) looking for an exciting challenge? Does designing complex and innovative overhead reconnaissance systems interest you? Does a career with an "out of this world" mission sound intriguing? If so, the National Reconnaissance Office (NRO) is looking for you! The NRO seeks recently graduated or early career STEM Doctorate degree professionals to serve as Technical Analysts. NRO will select multiple motivated, team-focused, highly qualified individuals to engage in the NRO mission by applying creative solutions to complex technical and operational problems. Selectees will join the Advanced Systems & Technology Directorate (AS&T) as a member of the Enterprise Technical Innovation Corps (ETIC). During their assignment in AS&T, ETIC activities focus on developing the knowledge, skills, and abilities to become a technical leader within the Government with direction aimed at learning the NRO, understanding emerging technology, and applying this knowledge to help advance NRO programs. The NRO Cadre is collecting resumes for consideration against current and future opportunities for officers up to Full Performance Level (GG-11-13), Technical Analysts, occupational series 0801, 1301, or 1501. We strongly encourage candidates with degrees in science and engineering to apply for this position, in addition to those with backgrounds in applied mathematical concepts and data analytics. For more information on the Office of Personnel Management (OPM) occupational series, click here. Your resume may be considered for other positions which your skills and experience may be a good match. This is a full-time position that is open until filled. Who May Apply This position is open to the public. Federal government employees MUST currently be at the grade level or higher as indicated in this announcement. This is NOT a promotion opportunity for current Federal government employees. If selected for the position, Federal government employees will transition laterally at their current grade level and step. Federal applicants who exceed the advertised grade may voluntarily request acceptance at the lower grade IAW DoWI 1400.25 Volume 2006. The NRO is only accepting external applicants for this job announcement. Current NRO Cadre employees should apply internally. This position may not qualify for the appointment of a Reemployed Federal Annuitant IAW DoWI 1400.25 Volume 300. What You Will Be Doing Collaborating with a team of subject matter experts with diverse technical backgrounds and unique perspectives to discover, develop, and deliver innovative concepts to address NRO technical challenges. Identifying, assessing, researching and demonstrating revolutionary technologies and concepts to maintain and grow the US Space Advantage. Facilitate technology transfer and transitions to/from the tech enterprise into acquisition programs. Prepare, provide, and evaluate conventional plans, designs, design specifications, and related documentation determining and/or executing actions for a wide range of assignments involving a combination of complex features. Provide advice to senior colleagues and/or management officials responsible for broad program operations. Research trends and patterns; develop new methods and criteria; propose new policies and practices; conduct technical analysis and field laboratory work to achieve products or services. Evaluate the value and applicability of new or improved technology, strategies, trends, or applications. Assess project and program effectiveness interacting with NRO-user community with respect to system and/or operational requirements. Provide expertise and advice on program planning and policy-making functions covering a broad range of engineering and scientific program and plans. Develop and advise on and implement critical projects and/or segments of NRO programs, projects, or activities. Initiate and conduct thorough and comprehensive analytical studies or other complex studies involving varied subject matters. Studies vary in complexity based on scenario and the number of analytical models employed. Define the problem, formulate scope, establish objectives, formulate methodologies, coordinate research contributions of others and identify significant findings. Produce insightful findings, alternative courses of action, solutions to critical problems, etc., which have significant impact in changing or improving practical and/or theoretical concept development to future special operations. Conduct systemic exploration of problems and analysis of alternatives. Present trend analysis data ascertaining potential problem areas. Define the problems involved, formulate concepts in addressing these problems, and review and evaluate the final outcomes of the study. Identify and clarify major factors and issues of the study. Establish the objectives and approach; formulate methodologies; and plans, advise on and coordinate study activities. Plan, execute and report on original studies or ongoing studies requiring a fresh approach to resolve new problems, modifying and adapting standard procedures, methods and techniques to address problems. Plan, coordinate, implement, test, and conduct projects, serving as an advisor to other scientists or engineers. Perform scientific and technical evaluation, correlation, synthesis and presentation or important data in a complex field making significant technical and scientific recommendations and decisions. What You Need This position requires Science, Technology, Engineering, Mathematics (STEM) Doctorate degree which falls in the 0801, 1301, or 1501 OPM occupational series. Degree areas are outlined below: For the 0801 Series: Degree: Professional Engineering. To be acceptable, the curriculum must: (1) be in a school of engineering with at least one curriculum accredited by the Accreditation Board for Engineering and Technology (ABET) as a professional engineering curriculum; or (2) include differential and integral calculus and courses (more advanced than first-year physics and chemistry) in five of the following seven areas of engineering science or physics: (a) statics, dynamics; (b) strength of materials (stress-strain relationships); (c) fluid mechanics, hydraulics; (d) thermodynamics; (e) electrical fields and circuits; (f) nature and properties of materials (relating particle and aggregate structure to properties); and (g) any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, soil mechanics, or electronics. For the 1301 Series: Degree: physical science, engineering, or mathematics that included 24 semester hours in physical science and/or related engineering science such as mechanics, dynamics, properties of materials, and electronics. For the 1501 Series: Degree: Mathematics, statistics, or actuarial science. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. Qualifying experience may have been acquired in any public or private sector job, but will clearly demonstrate past experience in the application of the particular competencies/knowledge, skills, and abilities necessary to successfully perform and is typically in or directly related to the duties of the position as described above. Experience must be reflected in your resume. Applicants submitting a resume that exceeds the two-page limit per OPM Memorandum, "Merit Hiring Plan," dated May 29, 2025, will not be eligible for consideration. For more information regarding resume writing, see "Guidance for Applicants on 2-Page Resume" and visit the Resume Help Center. Desired Qualifications Computer and Data Science with emphasis on Autonomy, Machine Learning, Cyber Security, and Data Networks Aerospace, Electrical, Mechanical Engineering with emphasis on Controls, Communications, Signals Processing, Computer Engineering, Edge/Embedded Compute Systems Engineering or physics with emphasis on Remote Sensing Applied or Theoretical Mathematics Other Information Overtime Statement: May be required to work other than normal duty hours, which may include evenings, weekends, and/or holidays. Travel Statement: May be required to travel in military or commercial aircraft to perform temporary duty assignments. Financial Disclosure: May be required to file an OGE Form 450, Confidential Financial Disclosure Report, upon appointment and will be required to file annually. Defense Acquisition Workforce Improvement Act (DAWIA) coded positions: If selected for a DAWIA coded position, the incumbent must meet appropriate certification requirements IAW the Defense Acquisition Workforce Improvement Act (DAWIA) no later than 24 months after accepting this position. Individual shall maintain, at a minimum 80 continuous Learning Points every 24 months via the services acquisition management system. DAWIA requirements may be located at the Defense Acquisition University website . click apply for full job details
10/22/2026
Full time
Job Description Job Description: WE ARE THE NRO For sixty years, the NRO has developed, acquired, launched and operated the satellites that are the foundation for America's advantage and strength in space. Using a diversified architecture of spacecraft, NRO collects and delivers the best space-based intelligence, surveillance, and reconnaissance content on the planet. Learn more at NRO.gov.Basic Eligibility For A Position With The NRO U.S. Citizenship is required You must be able to obtain and maintain a TS/SCI security clearance You will be subject to pre-employment and periodic drug testing You will be subject to pre-employment and periodic polygraph examinations Where You Will Work Do you enjoy designing, creating, and exploring possibilities? Are you a recently graduated or a candidate for a STEM Doctorate degree (within the next 6 months) looking for an exciting challenge? Does designing complex and innovative overhead reconnaissance systems interest you? Does a career with an "out of this world" mission sound intriguing? If so, the National Reconnaissance Office (NRO) is looking for you! The NRO seeks recently graduated or early career STEM Doctorate degree professionals to serve as Technical Analysts. NRO will select multiple motivated, team-focused, highly qualified individuals to engage in the NRO mission by applying creative solutions to complex technical and operational problems. Selectees will join the Advanced Systems & Technology Directorate (AS&T) as a member of the Enterprise Technical Innovation Corps (ETIC). During their assignment in AS&T, ETIC activities focus on developing the knowledge, skills, and abilities to become a technical leader within the Government with direction aimed at learning the NRO, understanding emerging technology, and applying this knowledge to help advance NRO programs. The NRO Cadre is collecting resumes for consideration against current and future opportunities for officers up to Full Performance Level (GG-11-13), Technical Analysts, occupational series 0801, 1301, or 1501. We strongly encourage candidates with degrees in science and engineering to apply for this position, in addition to those with backgrounds in applied mathematical concepts and data analytics. For more information on the Office of Personnel Management (OPM) occupational series, click here. Your resume may be considered for other positions which your skills and experience may be a good match. This is a full-time position that is open until filled. Who May Apply This position is open to the public. Federal government employees MUST currently be at the grade level or higher as indicated in this announcement. This is NOT a promotion opportunity for current Federal government employees. If selected for the position, Federal government employees will transition laterally at their current grade level and step. Federal applicants who exceed the advertised grade may voluntarily request acceptance at the lower grade IAW DoWI 1400.25 Volume 2006. The NRO is only accepting external applicants for this job announcement. Current NRO Cadre employees should apply internally. This position may not qualify for the appointment of a Reemployed Federal Annuitant IAW DoWI 1400.25 Volume 300. What You Will Be Doing Collaborating with a team of subject matter experts with diverse technical backgrounds and unique perspectives to discover, develop, and deliver innovative concepts to address NRO technical challenges. Identifying, assessing, researching and demonstrating revolutionary technologies and concepts to maintain and grow the US Space Advantage. Facilitate technology transfer and transitions to/from the tech enterprise into acquisition programs. Prepare, provide, and evaluate conventional plans, designs, design specifications, and related documentation determining and/or executing actions for a wide range of assignments involving a combination of complex features. Provide advice to senior colleagues and/or management officials responsible for broad program operations. Research trends and patterns; develop new methods and criteria; propose new policies and practices; conduct technical analysis and field laboratory work to achieve products or services. Evaluate the value and applicability of new or improved technology, strategies, trends, or applications. Assess project and program effectiveness interacting with NRO-user community with respect to system and/or operational requirements. Provide expertise and advice on program planning and policy-making functions covering a broad range of engineering and scientific program and plans. Develop and advise on and implement critical projects and/or segments of NRO programs, projects, or activities. Initiate and conduct thorough and comprehensive analytical studies or other complex studies involving varied subject matters. Studies vary in complexity based on scenario and the number of analytical models employed. Define the problem, formulate scope, establish objectives, formulate methodologies, coordinate research contributions of others and identify significant findings. Produce insightful findings, alternative courses of action, solutions to critical problems, etc., which have significant impact in changing or improving practical and/or theoretical concept development to future special operations. Conduct systemic exploration of problems and analysis of alternatives. Present trend analysis data ascertaining potential problem areas. Define the problems involved, formulate concepts in addressing these problems, and review and evaluate the final outcomes of the study. Identify and clarify major factors and issues of the study. Establish the objectives and approach; formulate methodologies; and plans, advise on and coordinate study activities. Plan, execute and report on original studies or ongoing studies requiring a fresh approach to resolve new problems, modifying and adapting standard procedures, methods and techniques to address problems. Plan, coordinate, implement, test, and conduct projects, serving as an advisor to other scientists or engineers. Perform scientific and technical evaluation, correlation, synthesis and presentation or important data in a complex field making significant technical and scientific recommendations and decisions. What You Need This position requires Science, Technology, Engineering, Mathematics (STEM) Doctorate degree which falls in the 0801, 1301, or 1501 OPM occupational series. Degree areas are outlined below: For the 0801 Series: Degree: Professional Engineering. To be acceptable, the curriculum must: (1) be in a school of engineering with at least one curriculum accredited by the Accreditation Board for Engineering and Technology (ABET) as a professional engineering curriculum; or (2) include differential and integral calculus and courses (more advanced than first-year physics and chemistry) in five of the following seven areas of engineering science or physics: (a) statics, dynamics; (b) strength of materials (stress-strain relationships); (c) fluid mechanics, hydraulics; (d) thermodynamics; (e) electrical fields and circuits; (f) nature and properties of materials (relating particle and aggregate structure to properties); and (g) any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, soil mechanics, or electronics. For the 1301 Series: Degree: physical science, engineering, or mathematics that included 24 semester hours in physical science and/or related engineering science such as mechanics, dynamics, properties of materials, and electronics. For the 1501 Series: Degree: Mathematics, statistics, or actuarial science. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. Qualifying experience may have been acquired in any public or private sector job, but will clearly demonstrate past experience in the application of the particular competencies/knowledge, skills, and abilities necessary to successfully perform and is typically in or directly related to the duties of the position as described above. Experience must be reflected in your resume. Applicants submitting a resume that exceeds the two-page limit per OPM Memorandum, "Merit Hiring Plan," dated May 29, 2025, will not be eligible for consideration. For more information regarding resume writing, see "Guidance for Applicants on 2-Page Resume" and visit the Resume Help Center. Desired Qualifications Computer and Data Science with emphasis on Autonomy, Machine Learning, Cyber Security, and Data Networks Aerospace, Electrical, Mechanical Engineering with emphasis on Controls, Communications, Signals Processing, Computer Engineering, Edge/Embedded Compute Systems Engineering or physics with emphasis on Remote Sensing Applied or Theoretical Mathematics Other Information Overtime Statement: May be required to work other than normal duty hours, which may include evenings, weekends, and/or holidays. Travel Statement: May be required to travel in military or commercial aircraft to perform temporary duty assignments. Financial Disclosure: May be required to file an OGE Form 450, Confidential Financial Disclosure Report, upon appointment and will be required to file annually. Defense Acquisition Workforce Improvement Act (DAWIA) coded positions: If selected for a DAWIA coded position, the incumbent must meet appropriate certification requirements IAW the Defense Acquisition Workforce Improvement Act (DAWIA) no later than 24 months after accepting this position. Individual shall maintain, at a minimum 80 continuous Learning Points every 24 months via the services acquisition management system. DAWIA requirements may be located at the Defense Acquisition University website . click apply for full job details
Job Description Senior Software Engineer, Scientific Instrumentation Location: Santa Barbara, CA (Hybrid) About the Role Oxford Instruments Asylum Research is seeking a Senior Software Engineer to help develop the next generation of software for our Atomic Force Microscopy (AFM) systems. This role focuses on scientific instrumentation, hardware integration, automation, and instrument control . You will work closely with scientists, product managers, and engineering teams to develop software that enables advanced nanoscale measurement, automation, and data acquisition capabilities. The ideal candidate has strong C# development expertise and experience building software for complex hardware-based systems such as scientific instruments, semiconductor equipment, robotics, industrial automation, medical devices, or test and measurement platforms. Responsibilities Design, develop, test, and maintain software for AFM systems (Atomic Force Microscopy Systems.) Contribute to the ongoing development of our Ergo software platform. Develop software for instrument control, automation, and data acquisition. Design and implement system integration and remote operation. Collaborate with scientists and engineers to develop new instrument capabilities and measurement workflows. Troubleshoot complex software, hardware, and system-level issues. Participate in software design and code reviews Mentor junior engineers and promote engineering best practices. Required Qualifications Bachelor's degree in Computer Engineering, Electrical Engineering, Physics, or a related technical field 8+ years of professional software development experience. Modern C++ and C++/CLI experience Experience with Protocol Buffers / gRPC Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and collaboration skills. Preferred Qualifications Experience with scientific instrumentation, microscopy, or imaging systems. Experience with motion control, sensors, hardware integration, or data acquisition systems. Experience with designing and interface specifications. Compensation $150,000 - $180,000 annually , depending on qualifications, skills, and experience.
10/21/2026
Full time
Job Description Senior Software Engineer, Scientific Instrumentation Location: Santa Barbara, CA (Hybrid) About the Role Oxford Instruments Asylum Research is seeking a Senior Software Engineer to help develop the next generation of software for our Atomic Force Microscopy (AFM) systems. This role focuses on scientific instrumentation, hardware integration, automation, and instrument control . You will work closely with scientists, product managers, and engineering teams to develop software that enables advanced nanoscale measurement, automation, and data acquisition capabilities. The ideal candidate has strong C# development expertise and experience building software for complex hardware-based systems such as scientific instruments, semiconductor equipment, robotics, industrial automation, medical devices, or test and measurement platforms. Responsibilities Design, develop, test, and maintain software for AFM systems (Atomic Force Microscopy Systems.) Contribute to the ongoing development of our Ergo software platform. Develop software for instrument control, automation, and data acquisition. Design and implement system integration and remote operation. Collaborate with scientists and engineers to develop new instrument capabilities and measurement workflows. Troubleshoot complex software, hardware, and system-level issues. Participate in software design and code reviews Mentor junior engineers and promote engineering best practices. Required Qualifications Bachelor's degree in Computer Engineering, Electrical Engineering, Physics, or a related technical field 8+ years of professional software development experience. Modern C++ and C++/CLI experience Experience with Protocol Buffers / gRPC Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and collaboration skills. Preferred Qualifications Experience with scientific instrumentation, microscopy, or imaging systems. Experience with motion control, sensors, hardware integration, or data acquisition systems. Experience with designing and interface specifications. Compensation $150,000 - $180,000 annually , depending on qualifications, skills, and experience.
Job Description Job Description Who we are: At Rover, pets and their people are at the heart of everything we do. We connect pet parents with trusted pet care across the U.S., Canada, Europe, and Australia. Headquartered in Seattle and Barcelona, we're a values driven, fast-growing tech company focused on building safe and personalized experiences tailored to the needs of each unique pet. We're investing in AI as a business accelerator and provide every team member access to AI tools in service of creating better experiences for our community. We are proud to be recognized as a great place to work, having been named among the 100 Best Companies to Work For in Seattle Business Magazine and Washington's Best Workplaces in the Puget Sound Business Journal. At Rover we're committed to creating an accessible, inclusive, and welcoming community, which starts with our employees. Want to make an impact? Join our pack and come work (and play!) with us. Who We Are Founded in 2011 on the belief that everyone should have the opportunity to experience the unconditional love of a pet, Rover connects pet parents with trusted pet care across the U.S., Canada, Europe, and Australia. At Rover, pets and their people are at the heart of everything we do, and we strive to improve and simplify life for pet parents and the pets they love. We're a values driven, agile tech company headquartered in Seattle and Barcelona, focused on building safe and personalized experiences tailored to the needs of each unique pet. We're investing in AI as a business accelerator and provide every team member access to AI tools in service of creating better experiences for our community. We are proud to be recognized as a great place to work, having been named among the 100 Best Companies to Work For in Seattle Business Magazine and Washington's Best Workplaces in the Puget Sound Business Journal. At Rover we're committed to creating an accessible, inclusive, and welcoming community, which starts with our employees. Want to make an impact? Join our pack and come work (and play!) with us. This is a hybrid position that has the minimum expectation to work out of our Downtown Seattle Office two days per week on Mondays and Thursdays. For this reason, candidates must be based in the Greater Seattle Area. Additionally, applicants must be currently authorized to work in the United States on a full-time basis, without the need for current or future employer sponsorship for an employment-based visa status. Meet the Recommendations Team: The Recommendations team is a team of 4 Seattle-based engineers and 3 remote contractors responsible for matching pet parents with the best care providers for their respective needs. We work closely with an adjacent team of analysts, designers, and data scientists to create, test, and release user-impacting marketplace features. Here are some examples of the types of projects we work on: Improving and maintaining the technology behind the search platform, Elasticsearch Increasing match personalization and pet parent confidence through creative information collection and playback initiatives. Providing engineering support to Data Science as they innovate on the algorithm and ML models that support search We are looking for an entry level Software Engineer to join the Recommendations team to help with this mission. You'll partner closely with senior engineers to break down requirements, build features, and see them through to launch growing your skills as a professional developer along the way. Join us if you're interested in both backend and frontend development, want to see the impact of your work on scaling our company, and are excited about the challenges of a marketplace business. Curious about what it's like to be an Engineer at Rover? Take a look at our Engineering Blog to see how our teams approach technical challenges, share what they've learned, and build products at scale. Check out some of the Recommendations team's recent posts! We're looking for someone who: Has empathy for users and enjoys building customer-facing products that improve people's and pet's lives Brings their own unique background to the team, adding fresh ideas and perspectives Is self-driven in solving problems and capitalizing on learning opportunities Is comfortable navigating ambiguity, and knows when to ask for help versus dig in independently Is a strong communicator with both technical and non-technical stakeholders Has an awareness of how to present information in the era of AI tooling Is excited to learn new things and take on big challenges with the support of Rover's Engineering community Your Qualifications: 1-4 years as a professional software developer Graduation from a formal computer science or engineering program Experience utilizing AI tools to drive both technical and non-technical workflows A solid foundation in professional software development practices and system design A strong communicator who can build consensus around technical approaches, address ambiguity with stakeholders, and effectively present information A high bar for code quality, automated testing, and engineering best practices Aligned with Rover Core Values Plus: Experience with any of the technologies we support - Python/Django, Elasticsearch, React/React Native Plus: Experience working in a relevant domain - search or two-sided marketplaces Our Style: We are proud to be professional software developers building high quality, scalable and supportable solutions. We are curious and passionate about learning, providing the right environment and resources for professional growth. We are committed to building, fostering and maintaining a culture of inclusivity and diversity both on our teams and in our products. We embrace progressive engineering practices and the evolving software development industry, including AI Native development, automated testing and a continuous deployment pipeline. We are serious about the quality of our production operation, and have thorough system, application and user interaction monitoring and anomaly detection. We are passionate about data-driven decision-making. We are friendly, supportive and respectful, and we pay attention to the impact and quality of our work as well as keeping work/life balance. And, dogs in the office. Bring yours, too! Benefits of Working at Competitive compensation 401k Flexible PTO Competitive benefits package, including medical, dental, and vision insurance Commuter benefits Bring your dog to work (and unlimited puppy time) Doggy benefits, including $1000 toward adopting your first dog Stocked fridges, coffee, soda, and lots of treats (for humans and dogs) and free catered lunches semi-monthly Regular team activities performed in person and virtually Compensation: In the greater Seattle area the first-year salary range is $99,719-128,513. Additionally, Rover offers benefits to full-time employees. The cash compensation offered for this role will be dependent on the candidate's experience, qualifications, skills, and abilities as demonstrated in the interview and hiring process. At Rover, we're driven by seeing our people succeed and grow, while doing our jobs better than ever before. We believe the best business outcomes come from a diverse set of perspectives and we're committed to promoting an inclusive, inventive, and fun environment with amazing employees. We welcome and encourage applicants from all backgrounds to apply. Rover is an equal opportunity employer. We consider all qualified applicants without regard to age, race, color, ancestry, national origin, religion, disability, military or veteran status, sex, pregnancy, gender identity or expression, sexual orientation, marital or partnership status, genetic predisposition, or any other protected status in accordance with applicable federal, state and local laws. We are committed to work with you to look for reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. _
10/20/2026
Full time
Job Description Job Description Who we are: At Rover, pets and their people are at the heart of everything we do. We connect pet parents with trusted pet care across the U.S., Canada, Europe, and Australia. Headquartered in Seattle and Barcelona, we're a values driven, fast-growing tech company focused on building safe and personalized experiences tailored to the needs of each unique pet. We're investing in AI as a business accelerator and provide every team member access to AI tools in service of creating better experiences for our community. We are proud to be recognized as a great place to work, having been named among the 100 Best Companies to Work For in Seattle Business Magazine and Washington's Best Workplaces in the Puget Sound Business Journal. At Rover we're committed to creating an accessible, inclusive, and welcoming community, which starts with our employees. Want to make an impact? Join our pack and come work (and play!) with us. Who We Are Founded in 2011 on the belief that everyone should have the opportunity to experience the unconditional love of a pet, Rover connects pet parents with trusted pet care across the U.S., Canada, Europe, and Australia. At Rover, pets and their people are at the heart of everything we do, and we strive to improve and simplify life for pet parents and the pets they love. We're a values driven, agile tech company headquartered in Seattle and Barcelona, focused on building safe and personalized experiences tailored to the needs of each unique pet. We're investing in AI as a business accelerator and provide every team member access to AI tools in service of creating better experiences for our community. We are proud to be recognized as a great place to work, having been named among the 100 Best Companies to Work For in Seattle Business Magazine and Washington's Best Workplaces in the Puget Sound Business Journal. At Rover we're committed to creating an accessible, inclusive, and welcoming community, which starts with our employees. Want to make an impact? Join our pack and come work (and play!) with us. This is a hybrid position that has the minimum expectation to work out of our Downtown Seattle Office two days per week on Mondays and Thursdays. For this reason, candidates must be based in the Greater Seattle Area. Additionally, applicants must be currently authorized to work in the United States on a full-time basis, without the need for current or future employer sponsorship for an employment-based visa status. Meet the Recommendations Team: The Recommendations team is a team of 4 Seattle-based engineers and 3 remote contractors responsible for matching pet parents with the best care providers for their respective needs. We work closely with an adjacent team of analysts, designers, and data scientists to create, test, and release user-impacting marketplace features. Here are some examples of the types of projects we work on: Improving and maintaining the technology behind the search platform, Elasticsearch Increasing match personalization and pet parent confidence through creative information collection and playback initiatives. Providing engineering support to Data Science as they innovate on the algorithm and ML models that support search We are looking for an entry level Software Engineer to join the Recommendations team to help with this mission. You'll partner closely with senior engineers to break down requirements, build features, and see them through to launch growing your skills as a professional developer along the way. Join us if you're interested in both backend and frontend development, want to see the impact of your work on scaling our company, and are excited about the challenges of a marketplace business. Curious about what it's like to be an Engineer at Rover? Take a look at our Engineering Blog to see how our teams approach technical challenges, share what they've learned, and build products at scale. Check out some of the Recommendations team's recent posts! We're looking for someone who: Has empathy for users and enjoys building customer-facing products that improve people's and pet's lives Brings their own unique background to the team, adding fresh ideas and perspectives Is self-driven in solving problems and capitalizing on learning opportunities Is comfortable navigating ambiguity, and knows when to ask for help versus dig in independently Is a strong communicator with both technical and non-technical stakeholders Has an awareness of how to present information in the era of AI tooling Is excited to learn new things and take on big challenges with the support of Rover's Engineering community Your Qualifications: 1-4 years as a professional software developer Graduation from a formal computer science or engineering program Experience utilizing AI tools to drive both technical and non-technical workflows A solid foundation in professional software development practices and system design A strong communicator who can build consensus around technical approaches, address ambiguity with stakeholders, and effectively present information A high bar for code quality, automated testing, and engineering best practices Aligned with Rover Core Values Plus: Experience with any of the technologies we support - Python/Django, Elasticsearch, React/React Native Plus: Experience working in a relevant domain - search or two-sided marketplaces Our Style: We are proud to be professional software developers building high quality, scalable and supportable solutions. We are curious and passionate about learning, providing the right environment and resources for professional growth. We are committed to building, fostering and maintaining a culture of inclusivity and diversity both on our teams and in our products. We embrace progressive engineering practices and the evolving software development industry, including AI Native development, automated testing and a continuous deployment pipeline. We are serious about the quality of our production operation, and have thorough system, application and user interaction monitoring and anomaly detection. We are passionate about data-driven decision-making. We are friendly, supportive and respectful, and we pay attention to the impact and quality of our work as well as keeping work/life balance. And, dogs in the office. Bring yours, too! Benefits of Working at Competitive compensation 401k Flexible PTO Competitive benefits package, including medical, dental, and vision insurance Commuter benefits Bring your dog to work (and unlimited puppy time) Doggy benefits, including $1000 toward adopting your first dog Stocked fridges, coffee, soda, and lots of treats (for humans and dogs) and free catered lunches semi-monthly Regular team activities performed in person and virtually Compensation: In the greater Seattle area the first-year salary range is $99,719-128,513. Additionally, Rover offers benefits to full-time employees. The cash compensation offered for this role will be dependent on the candidate's experience, qualifications, skills, and abilities as demonstrated in the interview and hiring process. At Rover, we're driven by seeing our people succeed and grow, while doing our jobs better than ever before. We believe the best business outcomes come from a diverse set of perspectives and we're committed to promoting an inclusive, inventive, and fun environment with amazing employees. We welcome and encourage applicants from all backgrounds to apply. Rover is an equal opportunity employer. We consider all qualified applicants without regard to age, race, color, ancestry, national origin, religion, disability, military or veteran status, sex, pregnancy, gender identity or expression, sexual orientation, marital or partnership status, genetic predisposition, or any other protected status in accordance with applicable federal, state and local laws. We are committed to work with you to look for reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. _
Job Description Job Description Junior Software Engineer, Boulder, CO or Raleigh, NC (Hybrid) We're building a pipeline of top-tier Software Engineer candidates at Ascend Analytics to be part of a collaborative team advancing software solutions and analytics to support the clean-tech power revolution. Your strong software engineering skills will support mission critical decision analytics for renewable and battery storage power providers around the globe. While we may not have an immediate start date for every applicant, we review applications on an ongoing basis and reach out directly as new openings arise. Our Mission At Ascend Analytics, our mission is to create sustainable economic value for energy buyers and producers and transform the power industry. Our team combines advanced analytics, cloud-based technology, and deep market expertise to help our clients solve complex challenges across grid reliability, power market volatility, renewable integration, infrastructure development, and energy investment strategy. As a high-growth, private equity-backed company, Ascend continues to expand its market presence while investing in innovation, talent, and scalable solutions for an increasingly dynamic energy market. Your Impact Real influence. Real outcomes. At every level. Technical ownership. Build and ship features across our SaaS platform, writing clean, tested, well-documented code that our customers and internal teams rely on. You'll take real tickets from day one and own them from design through deployment. Growth with support. Work alongside senior engineers who invest in your development through code reviews, pairing, and mentorship, so your technical skills grow with every sprint you ship. Engineering excellence. Help keep our codebase healthy by writing unit and integration tests, contributing to CI/CD pipelines, triaging bugs, and improving the reliability and performance of the systems that power our analytics products. Collaborative partnership. Work closely with product managers, data scientists, and fellow engineers to turn ideas into working software, and be a dependable voice in standups, design discussions, and cross-functional projects. Key Responsibilities Design and write clean, scalable, production code (our backend team primarily works in Python, SQL, SAS, and C#; our frontend team works in React). Refactor code for improved performance, stability, and scalability. Develop automatic tests. Work with our team of analysts and data scientists to integrate, generalize, and prototype mathematical and data science models within production software. Communicate clearly and effectively (orally and in writing) with both technical and nontechnical stakeholders. The software development team follows an agile scrum process, and all team members are expected to contribute to technical design reviews, implementation strategies, operational system support, and sprint planning. Required Qualifications BS in Engineering, Computer Science, Data/Information Science, Mathematics, or a related field. 3.0 cumulative GPA or higher. Demonstrated academic or professional software coding experience in one or more of the following languages: Python, Ruby, .NET, Java, C++, C#, Kotlin, Rust, or JavaScript, including object-oriented design. Strong background in programming related to applied mathematical, engineering, and physical sciences. Team player with a willingness to learn. Strong interpersonal skills, teamwork skills, and work ethic. Preferred Qualifications Self-starter who has implemented full-stack solutions (front-end and back-end development). Candidates with the drive, work ethic, and desire to learn and quickly advance in their careers. Knowledge of referential databases, such as SQL Server, Oracle, or PostgreSQL. Knowledge of wholesale electricity markets is a plus. Our Values Ascend Analytics promotes a culture of teamwork, inclusion, work-life balance, creative thinking, and learning. We work with five core pillars: Integrity: We act with honesty and uphold the highest ethical standards, doing the right thing even when it's difficult. Purpose Driven: We are united with a shared purpose to deliver meaningful impact on our customers, our industry, and the energy transition to a low-carbon future. Belonging: We foster a respectful, inclusive environment where everyone is valued, diverse perspectives are embraced, and fair opportunities are provided for all. Innovation: We predict and address new challenges, embracing change and continuous improvement One Team Mindset: We collaborate across teams and functions, supporting one another and prioritizing shared success over individual wins. Your Value We offer generous, fair compensation, calibrated to your experience and structured to grow with you, along with a comprehensive benefits package: Medical, dental, and vision coverage. Life and disability insurance. Parental leave for growing families. FSA, HSA, and dependent care accounts. 401(k) with a 3% non-elective contribution. Flexible PTO to take time when you need it. Join a team that values your work, supports your growth, and invests in your future! We offer a competitive salary range of $78,000 - $91,000. Compensation is flexible and tailored to your qualifications, relevant experience, and location of hire. But the perks don't stop there - we're committed to creating a workplace where people can do meaningful work, grow their careers, and still have a life outside the office. You'll enjoy a comprehensive benefits package, flexible work hours, a collaborative environment, and real opportunities for advancement. Collaboration is in our DNA, and we thrive on the energy of working together - the spontaneous ideas, face-to-face teamwork, and culture you can only build in a room. But we also value the focus and freedom that remote flexibility brings. That's why our Boulder, CO office and Raleigh, NC workspace run on a hybrid schedule (3 days in-office, 2 days remote). Need accommodations? Contact us at . Ascend Analytics is an Equal Employment Opportunity employer. We celebrate diversity and are committed to an inclusive environment for all employees regardless of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, veteran status, disability, or genetic information. By applying, you'll be considered for this role as positions open, and we'll follow up directly when there's a match to discuss next steps. Have questions about our hiring timeline? Reach out to us - happy to clarify what to expect. Note: We regret that we are currently unable to offer visa sponsorship.
10/20/2026
Full time
Job Description Job Description Junior Software Engineer, Boulder, CO or Raleigh, NC (Hybrid) We're building a pipeline of top-tier Software Engineer candidates at Ascend Analytics to be part of a collaborative team advancing software solutions and analytics to support the clean-tech power revolution. Your strong software engineering skills will support mission critical decision analytics for renewable and battery storage power providers around the globe. While we may not have an immediate start date for every applicant, we review applications on an ongoing basis and reach out directly as new openings arise. Our Mission At Ascend Analytics, our mission is to create sustainable economic value for energy buyers and producers and transform the power industry. Our team combines advanced analytics, cloud-based technology, and deep market expertise to help our clients solve complex challenges across grid reliability, power market volatility, renewable integration, infrastructure development, and energy investment strategy. As a high-growth, private equity-backed company, Ascend continues to expand its market presence while investing in innovation, talent, and scalable solutions for an increasingly dynamic energy market. Your Impact Real influence. Real outcomes. At every level. Technical ownership. Build and ship features across our SaaS platform, writing clean, tested, well-documented code that our customers and internal teams rely on. You'll take real tickets from day one and own them from design through deployment. Growth with support. Work alongside senior engineers who invest in your development through code reviews, pairing, and mentorship, so your technical skills grow with every sprint you ship. Engineering excellence. Help keep our codebase healthy by writing unit and integration tests, contributing to CI/CD pipelines, triaging bugs, and improving the reliability and performance of the systems that power our analytics products. Collaborative partnership. Work closely with product managers, data scientists, and fellow engineers to turn ideas into working software, and be a dependable voice in standups, design discussions, and cross-functional projects. Key Responsibilities Design and write clean, scalable, production code (our backend team primarily works in Python, SQL, SAS, and C#; our frontend team works in React). Refactor code for improved performance, stability, and scalability. Develop automatic tests. Work with our team of analysts and data scientists to integrate, generalize, and prototype mathematical and data science models within production software. Communicate clearly and effectively (orally and in writing) with both technical and nontechnical stakeholders. The software development team follows an agile scrum process, and all team members are expected to contribute to technical design reviews, implementation strategies, operational system support, and sprint planning. Required Qualifications BS in Engineering, Computer Science, Data/Information Science, Mathematics, or a related field. 3.0 cumulative GPA or higher. Demonstrated academic or professional software coding experience in one or more of the following languages: Python, Ruby, .NET, Java, C++, C#, Kotlin, Rust, or JavaScript, including object-oriented design. Strong background in programming related to applied mathematical, engineering, and physical sciences. Team player with a willingness to learn. Strong interpersonal skills, teamwork skills, and work ethic. Preferred Qualifications Self-starter who has implemented full-stack solutions (front-end and back-end development). Candidates with the drive, work ethic, and desire to learn and quickly advance in their careers. Knowledge of referential databases, such as SQL Server, Oracle, or PostgreSQL. Knowledge of wholesale electricity markets is a plus. Our Values Ascend Analytics promotes a culture of teamwork, inclusion, work-life balance, creative thinking, and learning. We work with five core pillars: Integrity: We act with honesty and uphold the highest ethical standards, doing the right thing even when it's difficult. Purpose Driven: We are united with a shared purpose to deliver meaningful impact on our customers, our industry, and the energy transition to a low-carbon future. Belonging: We foster a respectful, inclusive environment where everyone is valued, diverse perspectives are embraced, and fair opportunities are provided for all. Innovation: We predict and address new challenges, embracing change and continuous improvement One Team Mindset: We collaborate across teams and functions, supporting one another and prioritizing shared success over individual wins. Your Value We offer generous, fair compensation, calibrated to your experience and structured to grow with you, along with a comprehensive benefits package: Medical, dental, and vision coverage. Life and disability insurance. Parental leave for growing families. FSA, HSA, and dependent care accounts. 401(k) with a 3% non-elective contribution. Flexible PTO to take time when you need it. Join a team that values your work, supports your growth, and invests in your future! We offer a competitive salary range of $78,000 - $91,000. Compensation is flexible and tailored to your qualifications, relevant experience, and location of hire. But the perks don't stop there - we're committed to creating a workplace where people can do meaningful work, grow their careers, and still have a life outside the office. You'll enjoy a comprehensive benefits package, flexible work hours, a collaborative environment, and real opportunities for advancement. Collaboration is in our DNA, and we thrive on the energy of working together - the spontaneous ideas, face-to-face teamwork, and culture you can only build in a room. But we also value the focus and freedom that remote flexibility brings. That's why our Boulder, CO office and Raleigh, NC workspace run on a hybrid schedule (3 days in-office, 2 days remote). Need accommodations? Contact us at . Ascend Analytics is an Equal Employment Opportunity employer. We celebrate diversity and are committed to an inclusive environment for all employees regardless of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, veteran status, disability, or genetic information. By applying, you'll be considered for this role as positions open, and we'll follow up directly when there's a match to discuss next steps. Have questions about our hiring timeline? Reach out to us - happy to clarify what to expect. Note: We regret that we are currently unable to offer visa sponsorship.
Greystones Consulting Group LLC
Washington, Washington DC
Job Description Job Description Greystones Group is a fast-growing woman-owned small business supporting our Nation?s Defense and Critical Infrastructure Agencies with best-in-class artificial intelligence and big data analytics capabilities. Our capabilities include mission planning, operational support, leader development and education, cybersecurity, electronic warfare, and information technology solutions. We are looking for dedicated and motivated candidates that can grow with the company. At Greystones, we recognize that everyone brings their own important skill sets and unique talents to create a highly competent team to deliver quality solutions. We ensure that each member?s needs are addressed effectively, and our employees are not just a number. We offer a close-knit community that ensures your growth and development in a setting that provides world-class support to our customers. Greystones Group is seeking a detail-oriented and motivated Junior Data Engineer to support data-driven decision-making through the collection, processing, analysis, and visualization of complex datasets. This is an excellent opportunity for an early-career professional to gain hands-on experience working with large-scale government data while developing technical skills alongside experienced data engineers and data scientists. The ideal candidate is eager to learn, enjoys solving problems, and is interested in growing their career in data engineering and analytics. Experience or exposure to IRS or other federal government data is preferred. Remote Salary will be determined based on experience. Range: $60K?$75K Benefits 401(k) with matching Health, dental, and vision insurance Life insurance Flexible spending account Flexible schedule Paid time off Referral program Retirement plan Key Responsibilities Support senior team members in meetings with Government clients to understand business needs, data sources, and analysis plans Assist data scientists and senior engineers with the development, testing, and maintenance of data pipelines supporting data engineering and machine learning Assist software developers in building and maintaining tools for data visualization and analysis Assist with the development and testing of responsive web applications Write clean, maintainable code in Python and JavaScript under the guidance of senior engineers Participate in code reviews to learn and apply security and performance best practices Participate in Agile/Scrum ceremonies and collaborate with cross-functional teams Write and execute unit and integration tests under established development practices Assist with debugging and troubleshooting code and maintain technical documentation Use Git for version control and support application deployment processes Assist with production support and application health monitoring Gather, clean, and explore datasets to identify patterns, trends, and anomalies Support exploratory data analysis and data mining using government data sources Assist in preparing reports, dashboards, and presentations summarizing analytical findings Qualifications Bachelor?s degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field 1?3 years of experience in data engineering, data analysis, software development, or a related technical area; internships, co-ops, and relevant academic projects may be considered Working knowledge of Python and SQL Familiarity with Git and basic software development practices Basic understanding of databases, data structures, data processing, and software development concepts Ability to obtain a Federal Public Trust Clearance Exposure to JavaScript or web application development Some coursework, training, or hands-on exposure to cloud platforms such as AWS, Azure, or GCP Some familiarity with data visualization tools such as Tableau, Power BI, or Python plotting libraries Basic understanding of Agile/Scrum development methodologies Exposure to relational databases and SQL-based data querying Exposure to APIs, ETL/ELT processes, or data integration concepts Exposure to Python data libraries such as Pandas or NumPy is desirable Exposure to machine learning concepts or workflows is desirable Interest in data analytics, fraud detection, compliance, or working with regulated data Ability to follow established technical, security, and development practices and apply feedback from senior team members Greystones Group is an Equal Opportunity Employer. Greystones complies with applicable federal, state, and local employment laws and does not discriminate against qualified individuals on the basis of race, color, religion, sex, national origin, disability, protected veteran status, genetic information, or any other status protected by applicable law. Greystones Group is committed to providing equal employment opportunities to qualified individuals with disabilities and protected veterans in accordance with applicable federal requirements. If you are a qualified individual with a disability or a protected veteran and require a reasonable accommodation to apply for a position or participate in the application process, please contact our Human Resources Department at , option , or . Greystones Group participates in E-Verify.
10/20/2026
Full time
Job Description Job Description Greystones Group is a fast-growing woman-owned small business supporting our Nation?s Defense and Critical Infrastructure Agencies with best-in-class artificial intelligence and big data analytics capabilities. Our capabilities include mission planning, operational support, leader development and education, cybersecurity, electronic warfare, and information technology solutions. We are looking for dedicated and motivated candidates that can grow with the company. At Greystones, we recognize that everyone brings their own important skill sets and unique talents to create a highly competent team to deliver quality solutions. We ensure that each member?s needs are addressed effectively, and our employees are not just a number. We offer a close-knit community that ensures your growth and development in a setting that provides world-class support to our customers. Greystones Group is seeking a detail-oriented and motivated Junior Data Engineer to support data-driven decision-making through the collection, processing, analysis, and visualization of complex datasets. This is an excellent opportunity for an early-career professional to gain hands-on experience working with large-scale government data while developing technical skills alongside experienced data engineers and data scientists. The ideal candidate is eager to learn, enjoys solving problems, and is interested in growing their career in data engineering and analytics. Experience or exposure to IRS or other federal government data is preferred. Remote Salary will be determined based on experience. Range: $60K?$75K Benefits 401(k) with matching Health, dental, and vision insurance Life insurance Flexible spending account Flexible schedule Paid time off Referral program Retirement plan Key Responsibilities Support senior team members in meetings with Government clients to understand business needs, data sources, and analysis plans Assist data scientists and senior engineers with the development, testing, and maintenance of data pipelines supporting data engineering and machine learning Assist software developers in building and maintaining tools for data visualization and analysis Assist with the development and testing of responsive web applications Write clean, maintainable code in Python and JavaScript under the guidance of senior engineers Participate in code reviews to learn and apply security and performance best practices Participate in Agile/Scrum ceremonies and collaborate with cross-functional teams Write and execute unit and integration tests under established development practices Assist with debugging and troubleshooting code and maintain technical documentation Use Git for version control and support application deployment processes Assist with production support and application health monitoring Gather, clean, and explore datasets to identify patterns, trends, and anomalies Support exploratory data analysis and data mining using government data sources Assist in preparing reports, dashboards, and presentations summarizing analytical findings Qualifications Bachelor?s degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field 1?3 years of experience in data engineering, data analysis, software development, or a related technical area; internships, co-ops, and relevant academic projects may be considered Working knowledge of Python and SQL Familiarity with Git and basic software development practices Basic understanding of databases, data structures, data processing, and software development concepts Ability to obtain a Federal Public Trust Clearance Exposure to JavaScript or web application development Some coursework, training, or hands-on exposure to cloud platforms such as AWS, Azure, or GCP Some familiarity with data visualization tools such as Tableau, Power BI, or Python plotting libraries Basic understanding of Agile/Scrum development methodologies Exposure to relational databases and SQL-based data querying Exposure to APIs, ETL/ELT processes, or data integration concepts Exposure to Python data libraries such as Pandas or NumPy is desirable Exposure to machine learning concepts or workflows is desirable Interest in data analytics, fraud detection, compliance, or working with regulated data Ability to follow established technical, security, and development practices and apply feedback from senior team members Greystones Group is an Equal Opportunity Employer. Greystones complies with applicable federal, state, and local employment laws and does not discriminate against qualified individuals on the basis of race, color, religion, sex, national origin, disability, protected veteran status, genetic information, or any other status protected by applicable law. Greystones Group is committed to providing equal employment opportunities to qualified individuals with disabilities and protected veterans in accordance with applicable federal requirements. If you are a qualified individual with a disability or a protected veteran and require a reasonable accommodation to apply for a position or participate in the application process, please contact our Human Resources Department at , option , or . Greystones Group participates in E-Verify.
Job Description Job Description Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact. The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences. Job Specifications: Starting Wage: $140,000 - $185,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: Productionize ML models developed by data science into reliable, monitored, maintainable systems. Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable. Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows. Identify and scope opportunities for ML engineering across the business for high-impact. Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams. Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users. Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures. Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews. Job Requirements: Technical Skills: Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts. Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage. ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement. Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback. Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture. Databricks Expertise : You're familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance. DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability. Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs. System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use. Soft Skills: Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning. Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions. Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences. Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship. Preferred qualifications: A graduate degree (Masters or PhD) in a quantitative field Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management Experience with AI engineer to use, build, and monitor agentic solutions The expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517322 Reference Date: 09/05/2026 Job Code Function: Data Science
10/20/2026
Full time
Job Description Job Description Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact. The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences. Job Specifications: Starting Wage: $140,000 - $185,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: Productionize ML models developed by data science into reliable, monitored, maintainable systems. Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable. Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows. Identify and scope opportunities for ML engineering across the business for high-impact. Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams. Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users. Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures. Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews. Job Requirements: Technical Skills: Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts. Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage. ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement. Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback. Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture. Databricks Expertise : You're familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance. DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability. Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs. System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use. Soft Skills: Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning. Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions. Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences. Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship. Preferred qualifications: A graduate degree (Masters or PhD) in a quantitative field Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management Experience with AI engineer to use, build, and monitor agentic solutions The expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517322 Reference Date: 09/05/2026 Job Code Function: Data Science
Job Description Job Description WHO WE ARE: Splice is a creative platform for people who make music. Serious producers choose Splice Sounds to bring their ideas to life. A subscription to Splice inspires and accelerates creative success for digital music creators with an industry-leading catalog of sounds and samples and an expanding AI stack. With a rent-to-own marketplace of DAWs and plugins, the Splice experience seamlessly integrates into any music production workflow, regardless of DAW (Digital Audio Workstation). Via Splice, an unparalleled team of sound designers and sample creators are fueling the success of a growing global community of chart-topping producers, students, and DIY creators. HOW WE WORK: At Splice, DISCO is a rallying cry for collaboration, accountability, and unity within our organization; Direct, Inclusive, Splice Together, Creator Centric, and Optimistic. Our shared success depends on our ability to support one another, work well together, and communicate directly. By embracing flexibility and a unified approach, we can navigate anything that's thrown at us. Splice embraces a culture of remote work. You'll see your colleagues showing up from across the US and the UK. In order to keep us working well as a team, we have regular communication, including Town Halls, departmental all-hands and get-togethers. When you join Splice, you join a network of colleagues, peers, and collaborators. Are you ready? JOB TITLE: Senior Product Designer II LOCATION: Remote, US only THE ROLE You know how to read a funnel, identify where an experience is failing, and fix it with the same craft and precision you'd bring to anything else. You bring a clear point of view to ambiguous work, hold craft standards even when things move fast, and design toward outcomes you can actually measure. You'll work closely with our Principal Designer on Growth across the full scope of how Splice acquires, activates, and retains creators. WHO WE ARE Splice is a creative platform for people who make music. Serious producers choose Splice Sounds to bring their ideas to life. A subscription to Splice inspires and accelerates creative success for digital music creators with an industry-leading catalog of sounds and samples and an expanding AI stack. With a rent-to-own marketplace of DAWs and plugins, the Splice experience seamlessly integrates into any music production workflow, regardless of DAW (Digital Audio Workstation). Via Splice, an unparalleled team of sound designers and sample creators are fueling the success of a growing global community of chart-topping producers, students, and DIY creators. HOW WE WORK At Splice, DISCO is a rallying cry for collaboration, accountability, and unity within our organization; Direct, Inclusive, Splice Together, Creator Centric, and Optimistic. Our shared success depends on our ability to support one another, work well together, and communicate directly. By embracing flexibility and a unified approach, we can navigate anything that's thrown at us. Splice embraces a culture of remote work. You'll see your colleagues showing up from across the US and the UK. In order to keep us working well as a team, we have regular communication, including Town Halls, departmental all-hands and get-togethers. When you join Splice, you join a network of colleagues, peers, and collaborators. Are you ready? WHAT YOU'LL DO Execute high-quality design across the full growth scope. Onboarding, subscription and paywall experiences, referral programs, core site, and lifecycle moments. You carry the craft standard across all of it, from early concept through shipped product. Partner with our Principal Designer on Growth to shape what gets built. You bring a point of view early, share it clearly, and then hold it loosely enough to change your mind when the work proves you wrong. You contribute to product decisions, not just execute them. You push back if briefs are too vague and distill fuzzy input into clear design questions. Drive experimentation with rigor. You identify where experience and data signal a real problem, frame a hypothesis, design the variants, and interpret results to inform what comes next. You know what a good experiment looks like and what makes a bad one - including when they're scoped too small to tell you anything, aimed at the wrong lever, or when the result is actually pointing you at the real problem elsewhere entirely. Ship work that moves metrics. Success is concrete: more creators completing onboarding, stronger conversion through the subscription experience, lifecycle moments that bring people back. You'll see the numbers and know which ones you moved. Collaborate closely with Marketing, PMs, engineers, and data scientists. You build working relationships that make fast, high-quality shipping possible. You communicate trade-offs clearly and keep things moving without waiting on a handoff. Contribute to the design system. You build in a way that scales, flag inconsistencies when you see them, and contribute components when you identify gaps. Use AI-native tools as a standard part of your practice. Cursor, Claude, and similar tools belong in your daily workflow - for rapid prototyping, exploring directions, and accelerating execution. JOB REQUIREMENTS 7+ years of product design experience, with meaningful time in a growth, conversion, or retention context. You've shipped real work that produced real outcomes. Your portfolio shows a refined eye and a high standard of execution. Work that doesn't demonstrate this clearly won't move forward. You are already using AI-native tools (Cursor, Claude, or equivalent) as a standard part of your workflow. This is a baseline expectation, not a bonus. Experimentation fluency. You understand A/B testing, how to design for it, and how to read results without over-indexing on noise. Funnel thinking. You can map a conversion funnel, identify where experience quality and business outcomes diverge, and design toward a specific outcome without losing sight of the user. Metric fluency. You know which metrics matter for growth, how to interpret them in context, and how to set up a design decision so it can actually be measured. You work fluidly within established design systems and contribute back to them. You partner naturally with PMs and engineers. You influence product direction through your work and your thinking, not just your pixels. You can present work clearly at every stage, from rough concept to leadership review, and articulate the reasoning behind a design decision without a lengthy preamble. NICE TO HAVES A genuine connection to music and creator culture. You understand what it means to be mid-session, chasing a sound, making something. Front-end fluency (HTML/CSS/React). You can read and write code when it helps you move faster or communicate more precisely. Experience with subscription or marketplace business models. SPLICE BENEFITS: Compensation & Equity: Competitive pay with annual reviews and equity opportunities. Time Off: Unlimited PTO to recharge and thrive. Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents. Retirement Savings: 401(k) plan with immediate vesting and company match. Parental Support: 12 weeks of fully paid parental leave for non-birthing parents, and 18-20 weeks for birthing parents. Flexible Work Options: Work remotely or connect at our office hubs and creative spaces worldwide. Professional Growth: Annual learning budget, leadership programs, and team ambassador opportunities. Community & Connection: Inclusive events, team meet-ups, and vibrant Employee Resource Groups. The national pay range for this role is $160,000 - $200,000. Individual compensation will be commensurate with the candidate's experience. Splice is an Equal Opportunity Employer Splice provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
10/20/2026
Full time
Job Description Job Description WHO WE ARE: Splice is a creative platform for people who make music. Serious producers choose Splice Sounds to bring their ideas to life. A subscription to Splice inspires and accelerates creative success for digital music creators with an industry-leading catalog of sounds and samples and an expanding AI stack. With a rent-to-own marketplace of DAWs and plugins, the Splice experience seamlessly integrates into any music production workflow, regardless of DAW (Digital Audio Workstation). Via Splice, an unparalleled team of sound designers and sample creators are fueling the success of a growing global community of chart-topping producers, students, and DIY creators. HOW WE WORK: At Splice, DISCO is a rallying cry for collaboration, accountability, and unity within our organization; Direct, Inclusive, Splice Together, Creator Centric, and Optimistic. Our shared success depends on our ability to support one another, work well together, and communicate directly. By embracing flexibility and a unified approach, we can navigate anything that's thrown at us. Splice embraces a culture of remote work. You'll see your colleagues showing up from across the US and the UK. In order to keep us working well as a team, we have regular communication, including Town Halls, departmental all-hands and get-togethers. When you join Splice, you join a network of colleagues, peers, and collaborators. Are you ready? JOB TITLE: Senior Product Designer II LOCATION: Remote, US only THE ROLE You know how to read a funnel, identify where an experience is failing, and fix it with the same craft and precision you'd bring to anything else. You bring a clear point of view to ambiguous work, hold craft standards even when things move fast, and design toward outcomes you can actually measure. You'll work closely with our Principal Designer on Growth across the full scope of how Splice acquires, activates, and retains creators. WHO WE ARE Splice is a creative platform for people who make music. Serious producers choose Splice Sounds to bring their ideas to life. A subscription to Splice inspires and accelerates creative success for digital music creators with an industry-leading catalog of sounds and samples and an expanding AI stack. With a rent-to-own marketplace of DAWs and plugins, the Splice experience seamlessly integrates into any music production workflow, regardless of DAW (Digital Audio Workstation). Via Splice, an unparalleled team of sound designers and sample creators are fueling the success of a growing global community of chart-topping producers, students, and DIY creators. HOW WE WORK At Splice, DISCO is a rallying cry for collaboration, accountability, and unity within our organization; Direct, Inclusive, Splice Together, Creator Centric, and Optimistic. Our shared success depends on our ability to support one another, work well together, and communicate directly. By embracing flexibility and a unified approach, we can navigate anything that's thrown at us. Splice embraces a culture of remote work. You'll see your colleagues showing up from across the US and the UK. In order to keep us working well as a team, we have regular communication, including Town Halls, departmental all-hands and get-togethers. When you join Splice, you join a network of colleagues, peers, and collaborators. Are you ready? WHAT YOU'LL DO Execute high-quality design across the full growth scope. Onboarding, subscription and paywall experiences, referral programs, core site, and lifecycle moments. You carry the craft standard across all of it, from early concept through shipped product. Partner with our Principal Designer on Growth to shape what gets built. You bring a point of view early, share it clearly, and then hold it loosely enough to change your mind when the work proves you wrong. You contribute to product decisions, not just execute them. You push back if briefs are too vague and distill fuzzy input into clear design questions. Drive experimentation with rigor. You identify where experience and data signal a real problem, frame a hypothesis, design the variants, and interpret results to inform what comes next. You know what a good experiment looks like and what makes a bad one - including when they're scoped too small to tell you anything, aimed at the wrong lever, or when the result is actually pointing you at the real problem elsewhere entirely. Ship work that moves metrics. Success is concrete: more creators completing onboarding, stronger conversion through the subscription experience, lifecycle moments that bring people back. You'll see the numbers and know which ones you moved. Collaborate closely with Marketing, PMs, engineers, and data scientists. You build working relationships that make fast, high-quality shipping possible. You communicate trade-offs clearly and keep things moving without waiting on a handoff. Contribute to the design system. You build in a way that scales, flag inconsistencies when you see them, and contribute components when you identify gaps. Use AI-native tools as a standard part of your practice. Cursor, Claude, and similar tools belong in your daily workflow - for rapid prototyping, exploring directions, and accelerating execution. JOB REQUIREMENTS 7+ years of product design experience, with meaningful time in a growth, conversion, or retention context. You've shipped real work that produced real outcomes. Your portfolio shows a refined eye and a high standard of execution. Work that doesn't demonstrate this clearly won't move forward. You are already using AI-native tools (Cursor, Claude, or equivalent) as a standard part of your workflow. This is a baseline expectation, not a bonus. Experimentation fluency. You understand A/B testing, how to design for it, and how to read results without over-indexing on noise. Funnel thinking. You can map a conversion funnel, identify where experience quality and business outcomes diverge, and design toward a specific outcome without losing sight of the user. Metric fluency. You know which metrics matter for growth, how to interpret them in context, and how to set up a design decision so it can actually be measured. You work fluidly within established design systems and contribute back to them. You partner naturally with PMs and engineers. You influence product direction through your work and your thinking, not just your pixels. You can present work clearly at every stage, from rough concept to leadership review, and articulate the reasoning behind a design decision without a lengthy preamble. NICE TO HAVES A genuine connection to music and creator culture. You understand what it means to be mid-session, chasing a sound, making something. Front-end fluency (HTML/CSS/React). You can read and write code when it helps you move faster or communicate more precisely. Experience with subscription or marketplace business models. SPLICE BENEFITS: Compensation & Equity: Competitive pay with annual reviews and equity opportunities. Time Off: Unlimited PTO to recharge and thrive. Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents. Retirement Savings: 401(k) plan with immediate vesting and company match. Parental Support: 12 weeks of fully paid parental leave for non-birthing parents, and 18-20 weeks for birthing parents. Flexible Work Options: Work remotely or connect at our office hubs and creative spaces worldwide. Professional Growth: Annual learning budget, leadership programs, and team ambassador opportunities. Community & Connection: Inclusive events, team meet-ups, and vibrant Employee Resource Groups. The national pay range for this role is $160,000 - $200,000. Individual compensation will be commensurate with the candidate's experience. Splice is an Equal Opportunity Employer Splice provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Job Description Job Description Brunel is partnering with DataAnnotation to connect experienced Life Sciences professionals with an innovative AI training program. This opportunity brings together deep scientific expertise and artificial intelligence to help evaluate and improve AI-generated content across the Life Sciences. Selected experts will contribute their knowledge to the development of high-quality, scientifically accurate AI systems. This opportunity is designed for scientists and researchers with deep technical expertise across drug discovery, computational biology and bioinformatics, or experimental biology . Engagement Details Engagement Flexible schedule, unlimited hours, minimum 10 hours per week Pay rate $60-$125 USD/hour Location United States, Canada, United Kingdom, Ireland, and Australia First step 2-hour skills assessment Qualifications & Requirements Master's or PhD - or a current PhD candidate - in Biology or a directly related field , including molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology. The degree must be completed in the U.S., Canada, Europe, the UK, or Australia. 3+ years of hands-on experience in the relevant subfield. Full professional/native -level written and spoken English. Strong written communication skills and comfort working independently in a fully remote environment. Comfort with ambiguity and strong attention to detail. Ability to orient within a company data package ranging from 100MB to 30GB+ and quickly build an accurate, deep working picture of it, especially when the science sits partly or wholly outside your own specialization. Ability to interpret feedback, judge which parts of it are actually correct, and apply it without hand-holding. When stuck, independently look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete. General familiarity with AI/LLM tools ; user-level familiarity is sufficient. Hands-on experience using large language models in life sciences professional work , with the judgment to distinguish a well-reasoned answer from a plausible-sounding but incorrect one. Powered by JazzHR Hia7Ia0BDo
10/20/2026
Full time
Job Description Job Description Brunel is partnering with DataAnnotation to connect experienced Life Sciences professionals with an innovative AI training program. This opportunity brings together deep scientific expertise and artificial intelligence to help evaluate and improve AI-generated content across the Life Sciences. Selected experts will contribute their knowledge to the development of high-quality, scientifically accurate AI systems. This opportunity is designed for scientists and researchers with deep technical expertise across drug discovery, computational biology and bioinformatics, or experimental biology . Engagement Details Engagement Flexible schedule, unlimited hours, minimum 10 hours per week Pay rate $60-$125 USD/hour Location United States, Canada, United Kingdom, Ireland, and Australia First step 2-hour skills assessment Qualifications & Requirements Master's or PhD - or a current PhD candidate - in Biology or a directly related field , including molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology. The degree must be completed in the U.S., Canada, Europe, the UK, or Australia. 3+ years of hands-on experience in the relevant subfield. Full professional/native -level written and spoken English. Strong written communication skills and comfort working independently in a fully remote environment. Comfort with ambiguity and strong attention to detail. Ability to orient within a company data package ranging from 100MB to 30GB+ and quickly build an accurate, deep working picture of it, especially when the science sits partly or wholly outside your own specialization. Ability to interpret feedback, judge which parts of it are actually correct, and apply it without hand-holding. When stuck, independently look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete. General familiarity with AI/LLM tools ; user-level familiarity is sufficient. Hands-on experience using large language models in life sciences professional work , with the judgment to distinguish a well-reasoned answer from a plausible-sounding but incorrect one. Powered by JazzHR Hia7Ia0BDo
Job Description Job Description Description: : is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical science, data, technology, program management, and workforce solutions. Since 2010, we have built high-performing teams and disciplined delivery systems that help federal agencies launch complex programs, sustain performance, and achieve meaningful mission outcomes. Position Summary: LLC is seeking a Geographic Information System (GIS) Specialist to support NOAA's Office of Ocean Exploration. The GIS Specialist serves as the geospatial subject matter expert supporting NOAA Ocean Exploration programs. The successful candidate develops enterprise geospatial solutions integrating oceanographic, environmental, expedition, and scientific datasets into interactive mapping applications, analytical products, and decision-support tools. Working with scientists, engineers, and program leadership, this role supports expedition planning, exploration gap analysis, scientific research, program reporting, public engagement, and operational decision-making through advanced spatial analysis, cartographic design, and 2D/3D visualization. This position is contingent upon contract award. Mission Impact: This position supports NOAA's mission by transforming complex geospatial information into meaningful products that advance scientific discovery, expedition planning, and public understanding of the world's oceans. Key Responsibilities: Serve as the program's GIS subject matter expert. Develop and maintain GIS datasets supporting ocean exploration. Integrate marine, environmental, bathymetric, and expedition datasets from multiple sources. Design and maintain web-based GIS applications, dashboards, and interactive mapping solutions. Develop geospatial analyses supporting expedition planning and exploration gap analysis. Create professional quality 2D and 3D cartographic products and visualizations. Collaborate with scientists, engineers, and multidisciplinary teams. Perform quality assurance, metadata management, and documentation. Support reports, executive briefings, presentations, and public engagement products. Recommend improvements to GIS workflows and visualization methods. Provide technical guidance to interns, fellows, contractors, and project teams. Requirements: Bachelor's degree in GIS, Geography, Geospatial Science, Marine Science, Oceanography, Environmental Science, Earth Science, Geology, or related field. Experience designing GIS solutions supporting scientific, environmental, or government programs. Experience integrating multiple geospatial datasets into analytical and visualization products. Experience creating professional 2D and 3D cartographic products. Strong knowledge of spatial analysis, coordinate systems, projections, and geospatial data management. Experience supporting NOAA or other federal science organizations. Experience supporting ocean exploration or marine science initiatives. Experience with ArcGIS Pro, ArcGIS Online, ArcGIS Experience Builder, or similar enterprise GIS platforms. Experience with Python, SQL, R, web GIS, remote sensing, or spatial databases. Experience mentoring junior staff, interns, or multidisciplinary teams. Proficiency with Microsoft Office 365, Google Workspace, and Adobe Acrobat. Excellent analytical, written, and verbal communication skills. Ability to satisfy applicable Department of Commerce and NOAA security requirements. Occasional domestic travel may be required to support scientific meetings, workshops, planning sessions, training activities, or other program requirements consistent with contract needs. Technical Skills: ArcGIS Pro, ArcGIS Online, ArcGIS Experience Builder Spatial analysis and cartographic design 2D and 3D geospatial visualization Geospatial data integration and metadata management Python, SQL, R (preferred) Microsoft Office 365, Google Workspace, Adobe Acrobat Microsoft Teams, SharePoint, or similar collaboration platforms Compensation: The anticipated salary range for this position is depending on the candidate's qualifications, and relevant project management experience. What We Offer: Competitive base salary with opportunities for advancement, career growth and professional development, work-life balance, comprehensive benefits including health, dental, vision, life insurance, 401(k), generous PTO, and paid federal holidays. If you are a geospatial professional with a passion for ocean exploration, scientific discovery, and transforming complex spatial data into meaningful insights, we encourage you to apply and help advance NOAA's mission of exploring and understanding the world's oceans! is an equal opportunity employer. We encourage all qualified candidates to apply, regardless of race, gender, age, disability, or other protected characteristics. To learn more about our other exciting opportunities, visit our Jobs Page at .
10/20/2026
Full time
Job Description Job Description Description: : is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical science, data, technology, program management, and workforce solutions. Since 2010, we have built high-performing teams and disciplined delivery systems that help federal agencies launch complex programs, sustain performance, and achieve meaningful mission outcomes. Position Summary: LLC is seeking a Geographic Information System (GIS) Specialist to support NOAA's Office of Ocean Exploration. The GIS Specialist serves as the geospatial subject matter expert supporting NOAA Ocean Exploration programs. The successful candidate develops enterprise geospatial solutions integrating oceanographic, environmental, expedition, and scientific datasets into interactive mapping applications, analytical products, and decision-support tools. Working with scientists, engineers, and program leadership, this role supports expedition planning, exploration gap analysis, scientific research, program reporting, public engagement, and operational decision-making through advanced spatial analysis, cartographic design, and 2D/3D visualization. This position is contingent upon contract award. Mission Impact: This position supports NOAA's mission by transforming complex geospatial information into meaningful products that advance scientific discovery, expedition planning, and public understanding of the world's oceans. Key Responsibilities: Serve as the program's GIS subject matter expert. Develop and maintain GIS datasets supporting ocean exploration. Integrate marine, environmental, bathymetric, and expedition datasets from multiple sources. Design and maintain web-based GIS applications, dashboards, and interactive mapping solutions. Develop geospatial analyses supporting expedition planning and exploration gap analysis. Create professional quality 2D and 3D cartographic products and visualizations. Collaborate with scientists, engineers, and multidisciplinary teams. Perform quality assurance, metadata management, and documentation. Support reports, executive briefings, presentations, and public engagement products. Recommend improvements to GIS workflows and visualization methods. Provide technical guidance to interns, fellows, contractors, and project teams. Requirements: Bachelor's degree in GIS, Geography, Geospatial Science, Marine Science, Oceanography, Environmental Science, Earth Science, Geology, or related field. Experience designing GIS solutions supporting scientific, environmental, or government programs. Experience integrating multiple geospatial datasets into analytical and visualization products. Experience creating professional 2D and 3D cartographic products. Strong knowledge of spatial analysis, coordinate systems, projections, and geospatial data management. Experience supporting NOAA or other federal science organizations. Experience supporting ocean exploration or marine science initiatives. Experience with ArcGIS Pro, ArcGIS Online, ArcGIS Experience Builder, or similar enterprise GIS platforms. Experience with Python, SQL, R, web GIS, remote sensing, or spatial databases. Experience mentoring junior staff, interns, or multidisciplinary teams. Proficiency with Microsoft Office 365, Google Workspace, and Adobe Acrobat. Excellent analytical, written, and verbal communication skills. Ability to satisfy applicable Department of Commerce and NOAA security requirements. Occasional domestic travel may be required to support scientific meetings, workshops, planning sessions, training activities, or other program requirements consistent with contract needs. Technical Skills: ArcGIS Pro, ArcGIS Online, ArcGIS Experience Builder Spatial analysis and cartographic design 2D and 3D geospatial visualization Geospatial data integration and metadata management Python, SQL, R (preferred) Microsoft Office 365, Google Workspace, Adobe Acrobat Microsoft Teams, SharePoint, or similar collaboration platforms Compensation: The anticipated salary range for this position is depending on the candidate's qualifications, and relevant project management experience. What We Offer: Competitive base salary with opportunities for advancement, career growth and professional development, work-life balance, comprehensive benefits including health, dental, vision, life insurance, 401(k), generous PTO, and paid federal holidays. If you are a geospatial professional with a passion for ocean exploration, scientific discovery, and transforming complex spatial data into meaningful insights, we encourage you to apply and help advance NOAA's mission of exploring and understanding the world's oceans! is an equal opportunity employer. We encourage all qualified candidates to apply, regardless of race, gender, age, disability, or other protected characteristics. To learn more about our other exciting opportunities, visit our Jobs Page at .
Job Description Job Description Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. Job Description Overview Experian's Fraud Analytics & Commercialization operates across four main functions. These include client engagement analytics, scalable and custom analytics for financial institutions, fraud analytics consulting, and solution integrity and enablement for production-ready platforms. We're looking for a motivated Data Scientist to help build fraud detection models and features that identify high-risk activity while minimizing friction for legitimate customers. Core skills for this role include strategic thinking, an eagerness to collaborate, and empathy. You will will dig into surprising signals in the data and to learn how that insight becomes a deployed model. You will help investigate the latest fraud patterns, build features, and train and evaluate machine learning models. You will work with senior data scientists and engineers starting with problem definition through feature engineering, experimentation, and deployment. You will be a developing programmer, ready to translate theoretical principles into production-ready solutions. We continue to sharpen through research and the engineering that turns those findings into tools and systems built for commercialization. This is a remote role and you will report into the Sr. Manager of Fraud Analytics. What you'll do Explore complex datasets, with guidance from senior team members, to identify fraud patterns, attack methods, and behavioral signals. Work with senior data scientists to translate fraud questions into testable hypotheses Help build machine learning models for fraud detection across account opening, account takeover, and identity risk. Evaluate models using both technical and business metrics, such as precision, recall, fraud capture rate, false-positive rate, and customer friction. Develop and validate features using identity, transactional, behavioral, and other available data sources. Write clean, well-tested code, and work with engineering to bring models and features into production. Partner with the score monitoring team to help set up model and feature monitoring, and support research on related client questions. Help prepare analyses and communicate findings to both technical and nontechnical audiences. Apply Experian's standards for data privacy, model documentation, explainability, validation, and governance. Qualifications 1+ years of experience in data science, machine learning, statistical modeling, or a related quantitative field Bachelor's or advanced degree in computer science, statistics, mathematics, economics, engineering, data science, or another quantitative discipline Foundation in supervised learning, model evaluation, feature selection, statistical inference, and techniques such as classification and anomaly detection. Proficiency in Python, with the ability to write clean, readable, and well-tested code. Familiarity with common data science and machine-learning tools such as pandas, NumPy, and scikit-learn. Investigative mindset and the ability to move from unusual data patterns to testable hypotheses. Familiarity with PySpark, cloud platforms such as Amazon Web Services, Google Cloud, Azure, Databricks, and Snowflake, or other large-scale data tools. Exposure to financial services, FinTech, payments, or another regulated or fraud-intensive industry, through coursework, internship, or prior work. Additional Information Benefits/Perks: Great compensation package and bonus plan Core benefits including medical, dental, vision, and matching 401K Flexible work environment, ability to work remote, hybrid or in-office Flexible time off including volunteer time off, vacation, sick and 12-paid holidays Explore all our exciting benefits here: -index.html Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose-driven culture is multi award-winning. We have won World's Best Workplaces 2025 (Fortune Global Top 25), and Great Place To Work in 26 countries to name a few. Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. Our compensation reflects the cost of labor across several U.S. geographic markets. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be eligible for a variable pay opportunity and a comprehensive benefits package. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
10/20/2026
Full time
Job Description Job Description Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. Job Description Overview Experian's Fraud Analytics & Commercialization operates across four main functions. These include client engagement analytics, scalable and custom analytics for financial institutions, fraud analytics consulting, and solution integrity and enablement for production-ready platforms. We're looking for a motivated Data Scientist to help build fraud detection models and features that identify high-risk activity while minimizing friction for legitimate customers. Core skills for this role include strategic thinking, an eagerness to collaborate, and empathy. You will will dig into surprising signals in the data and to learn how that insight becomes a deployed model. You will help investigate the latest fraud patterns, build features, and train and evaluate machine learning models. You will work with senior data scientists and engineers starting with problem definition through feature engineering, experimentation, and deployment. You will be a developing programmer, ready to translate theoretical principles into production-ready solutions. We continue to sharpen through research and the engineering that turns those findings into tools and systems built for commercialization. This is a remote role and you will report into the Sr. Manager of Fraud Analytics. What you'll do Explore complex datasets, with guidance from senior team members, to identify fraud patterns, attack methods, and behavioral signals. Work with senior data scientists to translate fraud questions into testable hypotheses Help build machine learning models for fraud detection across account opening, account takeover, and identity risk. Evaluate models using both technical and business metrics, such as precision, recall, fraud capture rate, false-positive rate, and customer friction. Develop and validate features using identity, transactional, behavioral, and other available data sources. Write clean, well-tested code, and work with engineering to bring models and features into production. Partner with the score monitoring team to help set up model and feature monitoring, and support research on related client questions. Help prepare analyses and communicate findings to both technical and nontechnical audiences. Apply Experian's standards for data privacy, model documentation, explainability, validation, and governance. Qualifications 1+ years of experience in data science, machine learning, statistical modeling, or a related quantitative field Bachelor's or advanced degree in computer science, statistics, mathematics, economics, engineering, data science, or another quantitative discipline Foundation in supervised learning, model evaluation, feature selection, statistical inference, and techniques such as classification and anomaly detection. Proficiency in Python, with the ability to write clean, readable, and well-tested code. Familiarity with common data science and machine-learning tools such as pandas, NumPy, and scikit-learn. Investigative mindset and the ability to move from unusual data patterns to testable hypotheses. Familiarity with PySpark, cloud platforms such as Amazon Web Services, Google Cloud, Azure, Databricks, and Snowflake, or other large-scale data tools. Exposure to financial services, FinTech, payments, or another regulated or fraud-intensive industry, through coursework, internship, or prior work. Additional Information Benefits/Perks: Great compensation package and bonus plan Core benefits including medical, dental, vision, and matching 401K Flexible work environment, ability to work remote, hybrid or in-office Flexible time off including volunteer time off, vacation, sick and 12-paid holidays Explore all our exciting benefits here: -index.html Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose-driven culture is multi award-winning. We have won World's Best Workplaces 2025 (Fortune Global Top 25), and Great Place To Work in 26 countries to name a few. Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. Our compensation reflects the cost of labor across several U.S. geographic markets. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be eligible for a variable pay opportunity and a comprehensive benefits package. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Job Description Job Description Science Systems and Applications, Inc (SSAI) is seeking an experienced and skilled Multi-GNSS Data Analyst . The successful candidate will be responsible for processing, analyzing, and validating Multi-GNSS data in support of precision positioning, navigation, and timing (PNT) applications. This role requires deep technical expertise in GNSS measurement processing, error modeling, and geospatial data analysis, with a strong focus on delivering high-accuracy positioning solutions for scientific and engineering applications. Key Responsibilities: GNSS Data Processing & Analysis Process raw Multi-GNSS observations using precise point positioning (PPP), Post-Processed Kinematic (PPK), reduced dynamic, differential, undifferenced, and relative positioning techniques Perform static, kinematic, and reduced dynamic Multi-GNSS data processing for ground-based, spaceborne, and airborne platform precise positioning and clock solutions including GNSS space vehicles, ground stations, and LEO geodetic satellites Perform Multi-GNSS data processing in support of Earth Orientation Parameter (EOP) and reference frame solutions Application and improvement of corrections for tropospheric delay, ionospheric delay, multipath, and other systematic error sources Conduct integer ambiguity resolution to achieve centimeter-level positioning accuracy Quality Assessment & Validation Assess Multi-GNSS solution quality using statistical metrics, residual analysis, and independent validation datasets Identify and mitigate systematic errors, outliers, and data gaps in Multi-GNSS observations Compare Multi-GNSS-derived positions against ground truth and independent reference datasets Document data quality issues and develop strategies for improvement Integration & Geolocation Integrate GNSS and IMU/INS data for precise platform positioning and attitude determination Support geolocation of remote sensing data including laser altimeter measurements Software & Tool Development Develop, maintain, and improve GNSS data processing scripts and workflows using PERL, Fortran, C, Python, and similar languages Work with Multi-GNSS processing software such as GIPSY-OASIS, BERNESE, and GEODYN Automate data processing pipelines to handle large volumes of Multi-GNSS observations efficiently Contribute to the development of data processing documentation and standard operating procedures Collaboration & Communication Collaborate with multidisciplinary teams including scientists, engineers, and project managers Present technical results and findings to both technical and non-technical audiences Contribute to technical reports, peer-reviewed publications, and conference presentations Participate in field campaigns and provide on-site GNSS data collection support as needed Required Qualifications: Bachelor's (B.S.) degree in Aerospace Engineering, Geodesy, Geomatics, Electrical Engineering, Physics, Computer Science, or a related field. Minimum 5 years of experience in GNSS data processing and analysis. Strong understanding of GNSS measurement models, error sources, and correction techniques. Proficiency in at least one GNSS processing software package (e.g., GIPSY, BERNESE). Experience with kinematic GNSS processing for spaceborne and airborne or mobile platforms. Proficiency in Python, MATLAB, or C++ for data analysis and automation. Familiarity with geodetic reference frames, coordinate systems, and datum transformations. Strong analytical and problem-solving skills. Excellent written and verbal communication skills. U.S. Citizenship or Permanent Residency required. Desired Qualifications Master's or Ph.D. in Geodesy, Geomatics, Navigation, Aerospace Engineering or a closely related field. Experience with kinematic and reduced dynamic Precise Orbit Determination (POD) for spaceborne GNSS receivers. Experience with precise positioning and clock solutions for GNSS space vehicles and ground stations. Experience with Post-Processed Kinematic (PPK), Precise Point Positioning (PPP). Experience with integer ambiguity resolution techniques. Experience supporting airborne or spaceborne remote sensing missions. Knowledge of satellite gravimetry and laser altimetry. Familiarity with IMU/INS integration and tightly/loosely coupled GNSS/INS processing. Active participation in the geodetic or GNSS research community (publications, conferences). EEO/AA Veterans and Individuals with Disabilities Physical Requirements: While performing the duties of this job, the employee is regularly required to stand, walk, and use hands to touch, handle or feel objects, tools or controls. The employee frequently is required to talk and hear and occasionally required to reach with hands and arms and stoop, kneel, crouch, or crawl. Must regularly lift and/or move up to 10 pounds, and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, peripheral vision, depth perception and the ability to adjust focus
10/19/2026
Full time
Job Description Job Description Science Systems and Applications, Inc (SSAI) is seeking an experienced and skilled Multi-GNSS Data Analyst . The successful candidate will be responsible for processing, analyzing, and validating Multi-GNSS data in support of precision positioning, navigation, and timing (PNT) applications. This role requires deep technical expertise in GNSS measurement processing, error modeling, and geospatial data analysis, with a strong focus on delivering high-accuracy positioning solutions for scientific and engineering applications. Key Responsibilities: GNSS Data Processing & Analysis Process raw Multi-GNSS observations using precise point positioning (PPP), Post-Processed Kinematic (PPK), reduced dynamic, differential, undifferenced, and relative positioning techniques Perform static, kinematic, and reduced dynamic Multi-GNSS data processing for ground-based, spaceborne, and airborne platform precise positioning and clock solutions including GNSS space vehicles, ground stations, and LEO geodetic satellites Perform Multi-GNSS data processing in support of Earth Orientation Parameter (EOP) and reference frame solutions Application and improvement of corrections for tropospheric delay, ionospheric delay, multipath, and other systematic error sources Conduct integer ambiguity resolution to achieve centimeter-level positioning accuracy Quality Assessment & Validation Assess Multi-GNSS solution quality using statistical metrics, residual analysis, and independent validation datasets Identify and mitigate systematic errors, outliers, and data gaps in Multi-GNSS observations Compare Multi-GNSS-derived positions against ground truth and independent reference datasets Document data quality issues and develop strategies for improvement Integration & Geolocation Integrate GNSS and IMU/INS data for precise platform positioning and attitude determination Support geolocation of remote sensing data including laser altimeter measurements Software & Tool Development Develop, maintain, and improve GNSS data processing scripts and workflows using PERL, Fortran, C, Python, and similar languages Work with Multi-GNSS processing software such as GIPSY-OASIS, BERNESE, and GEODYN Automate data processing pipelines to handle large volumes of Multi-GNSS observations efficiently Contribute to the development of data processing documentation and standard operating procedures Collaboration & Communication Collaborate with multidisciplinary teams including scientists, engineers, and project managers Present technical results and findings to both technical and non-technical audiences Contribute to technical reports, peer-reviewed publications, and conference presentations Participate in field campaigns and provide on-site GNSS data collection support as needed Required Qualifications: Bachelor's (B.S.) degree in Aerospace Engineering, Geodesy, Geomatics, Electrical Engineering, Physics, Computer Science, or a related field. Minimum 5 years of experience in GNSS data processing and analysis. Strong understanding of GNSS measurement models, error sources, and correction techniques. Proficiency in at least one GNSS processing software package (e.g., GIPSY, BERNESE). Experience with kinematic GNSS processing for spaceborne and airborne or mobile platforms. Proficiency in Python, MATLAB, or C++ for data analysis and automation. Familiarity with geodetic reference frames, coordinate systems, and datum transformations. Strong analytical and problem-solving skills. Excellent written and verbal communication skills. U.S. Citizenship or Permanent Residency required. Desired Qualifications Master's or Ph.D. in Geodesy, Geomatics, Navigation, Aerospace Engineering or a closely related field. Experience with kinematic and reduced dynamic Precise Orbit Determination (POD) for spaceborne GNSS receivers. Experience with precise positioning and clock solutions for GNSS space vehicles and ground stations. Experience with Post-Processed Kinematic (PPK), Precise Point Positioning (PPP). Experience with integer ambiguity resolution techniques. Experience supporting airborne or spaceborne remote sensing missions. Knowledge of satellite gravimetry and laser altimetry. Familiarity with IMU/INS integration and tightly/loosely coupled GNSS/INS processing. Active participation in the geodetic or GNSS research community (publications, conferences). EEO/AA Veterans and Individuals with Disabilities Physical Requirements: While performing the duties of this job, the employee is regularly required to stand, walk, and use hands to touch, handle or feel objects, tools or controls. The employee frequently is required to talk and hear and occasionally required to reach with hands and arms and stoop, kneel, crouch, or crawl. Must regularly lift and/or move up to 10 pounds, and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, peripheral vision, depth perception and the ability to adjust focus
Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business. We are building an AI native, at-scale (15,000+ users at destination), enterprise platform intertwining deterministic code with non-deterministic reasoning systems as well as both frontier and home grown AI models, to transform how our company works in the data analysis space. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to . click apply for full job details
10/19/2026
Full time
Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business. We are building an AI native, at-scale (15,000+ users at destination), enterprise platform intertwining deterministic code with non-deterministic reasoning systems as well as both frontier and home grown AI models, to transform how our company works in the data analysis space. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to . click apply for full job details
Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. . click apply for full job details
10/19/2026
Full time
Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. . click apply for full job details
Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. Schedule & Location Employment Type: Full-time, exempt (salaried). This role can be based out of our Norwood, MA or Johnston, RI office, with an in-office schedule of 2 days per week and flexibility to work remotely 3 days per week, dependent on business needs. Relocation assistance is not offered for this position. Job Summary FM is seeking an experienced Analytics Solution Architect to lead the design and delivery of enterprise analytics, AI, and data-driven solutions. In this role, you will work across modern data, cloud, and application platforms to build scalable, secure, and production-ready solutions that enable advanced analytics, machine learning, business intelligence, and operational decision-making. You will partner closely with business stakeholders, product owners, data scientists, engineers, and platform teams to translate business needs into technical solutions. This role requires a blend of solution architecture, analytics architecture, software engineering, cloud technologies, and AI enablement, with a focus on delivering solutions that are reliable, maintainable, and aligned with long-term business objectives. The ideal candidate combines strong architecture and engineering expertise with the ability to lead through collaboration. You will help define how data, analytics, applications, and AI capabilities are designed, integrated, deployed, governed, and supported across the enterprise while providing technical leadership on strategic initiatives. Responsibilities Lead the architecture and delivery of data, AI and business solutions by designing scalable applications, data and analytics platforms, integration frameworks, and cloud-based solutions. Partner with business stakeholders, product owners, data scientists and engineering teams to translate business needs into technical solutions, define architecture roadmaps, and drive the successful delivery of strategic initiatives. Design and operationalize AI and machine learning solutions by enabling the transition of analytical models from development into secure, scalable, and production-ready environments while ensuring reliability, maintainability, and long-term supportability. Establish architecture standards and governance to ensure scalable, secure, reliable, and maintainable solutions across data, application, and cloud platforms. Evaluate emerging technologies, architecture patterns, and AI capabilities to drive innovation, platform modernization, and improved business outcomes. Provide technical leadership by mentoring teammates, advising stakeholders, and promoting best practices in solution architecture, application development, data and AI platforms, and technology delivery. Qualifications: Minimum of 7 years of experience in Solution Architecture or related technical leadership roles, with experience delivering data, analytics, AI, and cloud-based solutions; 10+ years preferred. Solution Architecture: Experience designing and delivering scalable applications, data and analytics platforms, cloud-native solutions, and integration architectures in an enterprise environment. Advanced Analytics Enablement: Experience partnering with data science teams to design, deploy, and operationalize machine learning and AI solutions in production environments. Technical Expertise: Strong understanding of modern software development practices, cloud and data platforms, CI/CD, security, and operational support. Experience with Python, machine learning concepts, and operationalizing analytical models preferred. Effective communication: Ability to translate complex technical concepts into clear recommendations for business, technical, and senior stakeholder audiences through strong written, verbal, and interpersonal communication. Decision making: Demonstrated ability to evaluate priorities, assess return on investment, resolve obstacles, and make sound architecture recommendations that support business outcomes and enterprise standards. Collaboration and teamwork: Proven ability to influence cross-functional teams, mentor technical staff, build strong stakeholder relationships, and drive successful delivery of strategic initiatives. Leadership mindset: Self-directed, customer-focused professional with strong problem-solving skills and a commitment to delivering high-quality scalable Analytics and AI solutions. Education and Certifications Bachelor's degree in computer science, Information Technology, Data Analytics, Data Science, Engineering, or a related field; equivalent experience considered. Master's degree in information technology, analytics, data science, or related discipline preferred. The hiring range for this position is $121,000 - $198,000 a year. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, medical, dental and vision insurance, life and disability insurance, well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, and time off, including vacation and sick time. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
10/02/2026
Full time
Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. Schedule & Location Employment Type: Full-time, exempt (salaried). This role can be based out of our Norwood, MA or Johnston, RI office, with an in-office schedule of 2 days per week and flexibility to work remotely 3 days per week, dependent on business needs. Relocation assistance is not offered for this position. Job Summary FM is seeking an experienced Analytics Solution Architect to lead the design and delivery of enterprise analytics, AI, and data-driven solutions. In this role, you will work across modern data, cloud, and application platforms to build scalable, secure, and production-ready solutions that enable advanced analytics, machine learning, business intelligence, and operational decision-making. You will partner closely with business stakeholders, product owners, data scientists, engineers, and platform teams to translate business needs into technical solutions. This role requires a blend of solution architecture, analytics architecture, software engineering, cloud technologies, and AI enablement, with a focus on delivering solutions that are reliable, maintainable, and aligned with long-term business objectives. The ideal candidate combines strong architecture and engineering expertise with the ability to lead through collaboration. You will help define how data, analytics, applications, and AI capabilities are designed, integrated, deployed, governed, and supported across the enterprise while providing technical leadership on strategic initiatives. Responsibilities Lead the architecture and delivery of data, AI and business solutions by designing scalable applications, data and analytics platforms, integration frameworks, and cloud-based solutions. Partner with business stakeholders, product owners, data scientists and engineering teams to translate business needs into technical solutions, define architecture roadmaps, and drive the successful delivery of strategic initiatives. Design and operationalize AI and machine learning solutions by enabling the transition of analytical models from development into secure, scalable, and production-ready environments while ensuring reliability, maintainability, and long-term supportability. Establish architecture standards and governance to ensure scalable, secure, reliable, and maintainable solutions across data, application, and cloud platforms. Evaluate emerging technologies, architecture patterns, and AI capabilities to drive innovation, platform modernization, and improved business outcomes. Provide technical leadership by mentoring teammates, advising stakeholders, and promoting best practices in solution architecture, application development, data and AI platforms, and technology delivery. Qualifications: Minimum of 7 years of experience in Solution Architecture or related technical leadership roles, with experience delivering data, analytics, AI, and cloud-based solutions; 10+ years preferred. Solution Architecture: Experience designing and delivering scalable applications, data and analytics platforms, cloud-native solutions, and integration architectures in an enterprise environment. Advanced Analytics Enablement: Experience partnering with data science teams to design, deploy, and operationalize machine learning and AI solutions in production environments. Technical Expertise: Strong understanding of modern software development practices, cloud and data platforms, CI/CD, security, and operational support. Experience with Python, machine learning concepts, and operationalizing analytical models preferred. Effective communication: Ability to translate complex technical concepts into clear recommendations for business, technical, and senior stakeholder audiences through strong written, verbal, and interpersonal communication. Decision making: Demonstrated ability to evaluate priorities, assess return on investment, resolve obstacles, and make sound architecture recommendations that support business outcomes and enterprise standards. Collaboration and teamwork: Proven ability to influence cross-functional teams, mentor technical staff, build strong stakeholder relationships, and drive successful delivery of strategic initiatives. Leadership mindset: Self-directed, customer-focused professional with strong problem-solving skills and a commitment to delivering high-quality scalable Analytics and AI solutions. Education and Certifications Bachelor's degree in computer science, Information Technology, Data Analytics, Data Science, Engineering, or a related field; equivalent experience considered. Master's degree in information technology, analytics, data science, or related discipline preferred. The hiring range for this position is $121,000 - $198,000 a year. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, medical, dental and vision insurance, life and disability insurance, well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, and time off, including vacation and sick time. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
Senior Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership. Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
10/02/2026
Full time
Senior Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership. Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Staff AI Engineer role (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. . click apply for full job details
10/02/2026
Full time
Staff AI Engineer role (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. . click apply for full job details
Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
10/02/2026
Full time
Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business. We are building an AI native, at-scale (15,000+ users at destination), enterprise platform intertwining deterministic code with non-deterministic reasoning systems as well as both frontier and home grown AI models, to transform how our company works in the data analysis space. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to . click apply for full job details
10/02/2026
Full time
Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business. We are building an AI native, at-scale (15,000+ users at destination), enterprise platform intertwining deterministic code with non-deterministic reasoning systems as well as both frontier and home grown AI models, to transform how our company works in the data analysis space. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to . click apply for full job details
Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds. Capital One is open to hiring a Remote Employee for this opportunity. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. . click apply for full job details
10/02/2026
Full time
Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds. Capital One is open to hiring a Remote Employee for this opportunity. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. . click apply for full job details
Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business. We are building an AI native, at-scale (15,000+ users at destination), enterprise platform intertwining deterministic code with non-deterministic reasoning systems as well as both frontier and home grown AI models, to transform how our company works in the data analysis space. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to . click apply for full job details
10/02/2026
Full time
Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business. We are building an AI native, at-scale (15,000+ users at destination), enterprise platform intertwining deterministic code with non-deterministic reasoning systems as well as both frontier and home grown AI models, to transform how our company works in the data analysis space. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to . click apply for full job details
