About Company: At ADP we use the most comprehensive data in the industry to create workplace insights that help inform products, ideas, and decisions every day. For 75 years, ADP has been building a better world of work. Learn why more than 1,000,000 clients rely on ADP and why we're always designing for people. About the Role: As a Full Stack Developer, you will play a pivotal role in designing, developing, and maintaining both the front-end and back-end components of our web applications. Your work will directly impact the user experience and the overall performance of our software products, ensuring they are scalable, secure, and efficient. You will collaborate closely with cross-functional teams including product managers, designers, and other developers to translate business requirements into technical solutions. This role demands a strong understanding of modern web technologies and best practices to deliver high-quality code and innovative features. Ultimately, your contributions will drive the continuous improvement and success of our digital platforms within the information industry. Minimum Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. Proven experience as a Full Stack Developer or similar role in software development. Proficiency with front-end technologies such as HTML5, CSS3, JavaScript, and frameworks like React, Angular, or Vue.js. Strong knowledge of back-end programming languages such as Node.js, Python, Java, or Ruby. Experience with database systems including SQL and NoSQL databases. Familiarity with RESTful API design and integration. Understanding of version control systems, preferably Git. Ability to write unit and integration tests to ensure code quality. Preferred Qualifications: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of containerization and orchestration tools like Docker and Kubernetes. Familiarity with CI/CD pipelines and automated deployment processes. Experience working in Agile/Scrum development environments. Strong understanding of web security principles and best practices. Contributions to open-source projects or a personal portfolio demonstrating coding skills. Responsibilities: Develop and maintain responsive web applications using modern front-end frameworks and back-end technologies. Collaborate with product and design teams to implement user-friendly interfaces and seamless user experiences. Write clean, maintainable, and well-documented code following industry best practices and coding standards. Perform code reviews, testing, and debugging to ensure software quality and reliability. Optimize applications for maximum speed and scalability while ensuring security compliance. Participate in agile development processes including sprint planning, daily stand-ups, and retrospectives. Troubleshoot and resolve technical issues across the full technology stack. Stay current with emerging technologies and industry trends to continuously enhance development practices. Skills: The required skills enable you to build and maintain both client-side and server-side components of web applications, ensuring seamless integration and functionality. Front-end skills allow you to create intuitive and responsive user interfaces, while back-end expertise ensures robust server logic and database management. Your proficiency with APIs and version control supports collaborative development and integration with other systems. Preferred skills such as cloud platform knowledge and containerization enhance your ability to deploy and scale applications efficiently in modern environments. Together, these skills empower you to deliver high-quality, secure, and scalable software solutions that meet business needs and user expectations.
09/29/2026
Full time
About Company: At ADP we use the most comprehensive data in the industry to create workplace insights that help inform products, ideas, and decisions every day. For 75 years, ADP has been building a better world of work. Learn why more than 1,000,000 clients rely on ADP and why we're always designing for people. About the Role: As a Full Stack Developer, you will play a pivotal role in designing, developing, and maintaining both the front-end and back-end components of our web applications. Your work will directly impact the user experience and the overall performance of our software products, ensuring they are scalable, secure, and efficient. You will collaborate closely with cross-functional teams including product managers, designers, and other developers to translate business requirements into technical solutions. This role demands a strong understanding of modern web technologies and best practices to deliver high-quality code and innovative features. Ultimately, your contributions will drive the continuous improvement and success of our digital platforms within the information industry. Minimum Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. Proven experience as a Full Stack Developer or similar role in software development. Proficiency with front-end technologies such as HTML5, CSS3, JavaScript, and frameworks like React, Angular, or Vue.js. Strong knowledge of back-end programming languages such as Node.js, Python, Java, or Ruby. Experience with database systems including SQL and NoSQL databases. Familiarity with RESTful API design and integration. Understanding of version control systems, preferably Git. Ability to write unit and integration tests to ensure code quality. Preferred Qualifications: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of containerization and orchestration tools like Docker and Kubernetes. Familiarity with CI/CD pipelines and automated deployment processes. Experience working in Agile/Scrum development environments. Strong understanding of web security principles and best practices. Contributions to open-source projects or a personal portfolio demonstrating coding skills. Responsibilities: Develop and maintain responsive web applications using modern front-end frameworks and back-end technologies. Collaborate with product and design teams to implement user-friendly interfaces and seamless user experiences. Write clean, maintainable, and well-documented code following industry best practices and coding standards. Perform code reviews, testing, and debugging to ensure software quality and reliability. Optimize applications for maximum speed and scalability while ensuring security compliance. Participate in agile development processes including sprint planning, daily stand-ups, and retrospectives. Troubleshoot and resolve technical issues across the full technology stack. Stay current with emerging technologies and industry trends to continuously enhance development practices. Skills: The required skills enable you to build and maintain both client-side and server-side components of web applications, ensuring seamless integration and functionality. Front-end skills allow you to create intuitive and responsive user interfaces, while back-end expertise ensures robust server logic and database management. Your proficiency with APIs and version control supports collaborative development and integration with other systems. Preferred skills such as cloud platform knowledge and containerization enhance your ability to deploy and scale applications efficiently in modern environments. Together, these skills empower you to deliver high-quality, secure, and scalable software solutions that meet business needs and user expectations.
Department: Engineering Reports to: Senior Engineering Manager Location: HQ Superior, CO Salary Range: $100,000 - $135,000 Travel Requirement: Up to 20% domestic and international travel POSITION SUMMARY The Embedded Systems Engineer will serve as the in-house technical owner for an outsourced embedded and electrical engineering strategy, responsible for defining requirements, selecting and managing external engineering partners, and ensuring delivery of production-ready firmware, electronics, controls, and connected-tool platforms for Magswitch electromechanical and robotic products. KEY RESPONSIBILITIES - Write, revise, and improve firmware for both new and existing hardware - Bring up new boards and test firmware on real hardware - Debug firmware issues using logs, scopes, and basic test tools - Work with sensors, motors, I/O, and communication interfaces - Support firmware testing for prototypes and production units - Work with the sales team to help debug issues in the field - Work closely with the overseas manufacturing team, including off-hours meetings - Work with contractors and customers as needed - Stay on track with project timelines and budgets - Identify and promptly elevate any risk to project schedules and budgets to the manager MINIMUM QUALIFICATIONS - Bachelor's degree in electrical engineering or related field - Minimum of five years of relevant experience - Knowledgeable of embedded systems and programming C/C++ - Experience with motors, actuators, sensor integration, and electrically actuated tool or automation systems - Ability to write and debug board-level drivers - Experience with MCU peripherals, including SPI, I2C, ADCs, and GPIO - Experience with MCU timers, interrupts, and DMA - Experience debugging firmware using scopes, logic analyzers, and serial tools - Strong attention to detail and willingness to learn - Effective communication and organizational skills - Ability to test products hands-on and troubleshoot issues - Ability to create internal andcustomer-facingdocumentation - Ability to identify and understand relevant regulations and standards documents to ensure the product line meets all relevant standards and regulations - Ability to make intuitive decisions based on proper discernment of ideas and options - Possess strong verbal, written, and organizational skills essential to professional communication - Ability to work ina fast-pacedenvironment - Drive to expand THE TEAM's knowledge and develop new skills - International & Domestic Travel, Up to 20% Nice to haves - Ability to create and design electrical circuits, PCBs, and control schematics - Knowledge or ability to program industrial robots and PLCs - Experience with stepper motors and writing stepper motor drivers - Experience with industrial automation protocols (Ethernet/IP,Profinet, EtherCAT, Modbus and CAN Open) ABOUT US Magswitch is a global leader in magnetic lifting solutions. We design and manufacture advanced magnet technologies that help industrial and automation customers improve material handling safety and efficiency. Our products are widely used in automotive assembly and other heavy-industry automation applications with manufacturing operations worldwide. Compensation and Benefits We offer a highly competitive compensation package designed to support your health, well-being, and financial security. Our comprehensive benefits include: Medical, dental, and vision insurance Retirement plan with 401(k) matching Paid time off Paid leave programs Health Savings Account (HSA) Flexible Spending Account (FSA) Basic and Voluntary Life insurance Short- and Long-term disability insurance Employee Assistance Program (EAP) Employee referral program Tuition reimbursement In accordance with Colorado law, the salary range disclosed for this role represents a good-faith estimate of the base compensation. Actual compensation will be based on factors such as experience, skills, and qualifications. Magswitch is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, genetic information, or any other protected characteristic. We comply with all applicable federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all aspects of employment, including recruitment, hiring, placement, promotion, compensation, benefits, training, and termination.
09/29/2026
Full time
Department: Engineering Reports to: Senior Engineering Manager Location: HQ Superior, CO Salary Range: $100,000 - $135,000 Travel Requirement: Up to 20% domestic and international travel POSITION SUMMARY The Embedded Systems Engineer will serve as the in-house technical owner for an outsourced embedded and electrical engineering strategy, responsible for defining requirements, selecting and managing external engineering partners, and ensuring delivery of production-ready firmware, electronics, controls, and connected-tool platforms for Magswitch electromechanical and robotic products. KEY RESPONSIBILITIES - Write, revise, and improve firmware for both new and existing hardware - Bring up new boards and test firmware on real hardware - Debug firmware issues using logs, scopes, and basic test tools - Work with sensors, motors, I/O, and communication interfaces - Support firmware testing for prototypes and production units - Work with the sales team to help debug issues in the field - Work closely with the overseas manufacturing team, including off-hours meetings - Work with contractors and customers as needed - Stay on track with project timelines and budgets - Identify and promptly elevate any risk to project schedules and budgets to the manager MINIMUM QUALIFICATIONS - Bachelor's degree in electrical engineering or related field - Minimum of five years of relevant experience - Knowledgeable of embedded systems and programming C/C++ - Experience with motors, actuators, sensor integration, and electrically actuated tool or automation systems - Ability to write and debug board-level drivers - Experience with MCU peripherals, including SPI, I2C, ADCs, and GPIO - Experience with MCU timers, interrupts, and DMA - Experience debugging firmware using scopes, logic analyzers, and serial tools - Strong attention to detail and willingness to learn - Effective communication and organizational skills - Ability to test products hands-on and troubleshoot issues - Ability to create internal andcustomer-facingdocumentation - Ability to identify and understand relevant regulations and standards documents to ensure the product line meets all relevant standards and regulations - Ability to make intuitive decisions based on proper discernment of ideas and options - Possess strong verbal, written, and organizational skills essential to professional communication - Ability to work ina fast-pacedenvironment - Drive to expand THE TEAM's knowledge and develop new skills - International & Domestic Travel, Up to 20% Nice to haves - Ability to create and design electrical circuits, PCBs, and control schematics - Knowledge or ability to program industrial robots and PLCs - Experience with stepper motors and writing stepper motor drivers - Experience with industrial automation protocols (Ethernet/IP,Profinet, EtherCAT, Modbus and CAN Open) ABOUT US Magswitch is a global leader in magnetic lifting solutions. We design and manufacture advanced magnet technologies that help industrial and automation customers improve material handling safety and efficiency. Our products are widely used in automotive assembly and other heavy-industry automation applications with manufacturing operations worldwide. Compensation and Benefits We offer a highly competitive compensation package designed to support your health, well-being, and financial security. Our comprehensive benefits include: Medical, dental, and vision insurance Retirement plan with 401(k) matching Paid time off Paid leave programs Health Savings Account (HSA) Flexible Spending Account (FSA) Basic and Voluntary Life insurance Short- and Long-term disability insurance Employee Assistance Program (EAP) Employee referral program Tuition reimbursement In accordance with Colorado law, the salary range disclosed for this role represents a good-faith estimate of the base compensation. Actual compensation will be based on factors such as experience, skills, and qualifications. Magswitch is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, genetic information, or any other protected characteristic. We comply with all applicable federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all aspects of employment, including recruitment, hiring, placement, promotion, compensation, benefits, training, and termination.
About Company: Hi This is About Company updated hello, this is company information About the Role: As a Java Developer, you will play a critical role in designing, developing, and maintaining high-quality Java applications that meet the evolving needs of our business and clients. You will collaborate closely with cross-functional teams including product managers, designers, and other developers to deliver scalable and efficient software solutions. Your expertise will contribute to the full software development lifecycle, from concept and design to testing and deployment. You will be responsible for writing clean, maintainable code and ensuring the performance, quality, and responsiveness of applications. Ultimately, your work will help drive innovation and improve user experience across our technology platforms. Minimum Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field. Proven experience as a Java Developer or similar role with a strong portfolio of completed projects. Solid understanding of object-oriented programming and design patterns. Proficiency in core Java technologies including Java SE and Java EE. Experience with relational databases and SQL. Familiarity with version control systems such as Git. Strong problem-solving skills and attention to detail. Preferred Qualifications: Experience with modern Java frameworks such as Spring and Hibernate. Knowledge of RESTful API design and development. Familiarity with front-end technologies like JavaScript, HTML, and CSS. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of containerization and orchestration tools like Docker and Kubernetes. Exposure to Agile development methodologies and continuous integration/continuous deployment (CI/CD) pipelines. Responsibilities: Develop, test, and deploy robust Java applications and services according to project requirements. Collaborate with team members to analyze user needs and software requirements to determine feasibility of design within time and cost constraints. Write well-designed, efficient, and reusable code following best practices and coding standards. Participate in code reviews, debugging, and troubleshooting to optimize application performance and resolve issues. Maintain and update existing applications to improve functionality and adapt to new technologies or business needs. Work closely with QA teams to ensure comprehensive test coverage and high-quality deliverables. Document development phases and monitor systems to ensure reliability and security. Skills: The required skills enable the developer to write efficient, maintainable, and scalable Java code that forms the backbone of our applications. Proficiency in Java and object-oriented principles ensures the developer can build robust software components and integrate them seamlessly. Knowledge of databases and SQL is essential for managing data persistence and retrieval effectively. Version control skills facilitate collaboration and code management within the development team. Preferred skills such as experience with frameworks, cloud services, and containerization enhance the developer's ability to build modern, flexible applications that can be deployed and scaled efficiently, while familiarity with Agile and CI/CD practices supports rapid and reliable software delivery.
09/29/2026
Full time
About Company: Hi This is About Company updated hello, this is company information About the Role: As a Java Developer, you will play a critical role in designing, developing, and maintaining high-quality Java applications that meet the evolving needs of our business and clients. You will collaborate closely with cross-functional teams including product managers, designers, and other developers to deliver scalable and efficient software solutions. Your expertise will contribute to the full software development lifecycle, from concept and design to testing and deployment. You will be responsible for writing clean, maintainable code and ensuring the performance, quality, and responsiveness of applications. Ultimately, your work will help drive innovation and improve user experience across our technology platforms. Minimum Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field. Proven experience as a Java Developer or similar role with a strong portfolio of completed projects. Solid understanding of object-oriented programming and design patterns. Proficiency in core Java technologies including Java SE and Java EE. Experience with relational databases and SQL. Familiarity with version control systems such as Git. Strong problem-solving skills and attention to detail. Preferred Qualifications: Experience with modern Java frameworks such as Spring and Hibernate. Knowledge of RESTful API design and development. Familiarity with front-end technologies like JavaScript, HTML, and CSS. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of containerization and orchestration tools like Docker and Kubernetes. Exposure to Agile development methodologies and continuous integration/continuous deployment (CI/CD) pipelines. Responsibilities: Develop, test, and deploy robust Java applications and services according to project requirements. Collaborate with team members to analyze user needs and software requirements to determine feasibility of design within time and cost constraints. Write well-designed, efficient, and reusable code following best practices and coding standards. Participate in code reviews, debugging, and troubleshooting to optimize application performance and resolve issues. Maintain and update existing applications to improve functionality and adapt to new technologies or business needs. Work closely with QA teams to ensure comprehensive test coverage and high-quality deliverables. Document development phases and monitor systems to ensure reliability and security. Skills: The required skills enable the developer to write efficient, maintainable, and scalable Java code that forms the backbone of our applications. Proficiency in Java and object-oriented principles ensures the developer can build robust software components and integrate them seamlessly. Knowledge of databases and SQL is essential for managing data persistence and retrieval effectively. Version control skills facilitate collaboration and code management within the development team. Preferred skills such as experience with frameworks, cloud services, and containerization enhance the developer's ability to build modern, flexible applications that can be deployed and scaled efficiently, while familiarity with Agile and CI/CD practices supports rapid and reliable software delivery.
Job Description: We are seeking an experienced Information Security Engineer with strong Microsoft Windows infrastructure expertise to support the delivery of air traffic control systems to our customers. This role will focus on the implementation of Windows-based platforms to provide a secure environment for other Saab software to run in. The ideal candidate will have hands-on experience with Windows Deployment Service, Active Directory, Group Policy management, network design, and hardware/software integration. This position plays a key role in implementing and deploying air traffic control systems for customers, ensuring Windows environments are configured to support our software while meeting safety and security regulations. This role requires both an independent drive to troubleshoot implementation and the ability to work collaboratively with teammates to integrate various system components. Key Responsibilities Architecture Design: Develop, document, and maintain comprehensive security architectures, network designs, and cloud infrastructures Risk & Vulnerability Management: Evaluate deliverable systems to identify weaknesses, perform security reviews, and execute ethical hacks or penetration tests. Leadership & Guidance: Lead information technology analysts, security engineers, and deployment teams to coordinate effective security protocols and align projects with security guidelines Design, implement, and manage Group Policy Objects (GPOs) to enforce security configurations and organizational standards within customer environments. Configure, administer, and harden Windows Server and Windows workstation systems as part of security solution deployments. Implement and maintain Active Directory security configurations, including user/group management, OU structures, and policy enforcement. Design and implement role-based access control (RBAC) and least-privilege access models. Deploy, configure, and manage endpoint protection and antivirus solutions. Apply system hardening practices aligned with industry security frameworks and best practices. Perform security assessments of Windows environments and implement remediation actions. Assist in creating secure configurations, patch processes, and compliance with security policies. Document system configurations, security controls, and deployment procedures for customer environments. Provide technical guidance and knowledge transfer to customer stakeholders when appropriate. Compensation Range: $101,600 - $132,000 The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: Required Qualifications Bachelor's degree in Systems Engineering, Computer Science, Information Technology, Information Security, or a related field (or equivalent experience). 6+ years of experience administering and securing Microsoft Windows environments. Strong hands-on experience with PowerShell scripting and automation. Proven experience creating and managing Windows domains, including development of Group Policy Objects and Active Directory structures. Experience integrating third-party software into Windows environments. Hands-on experience with Windows Deployment Services. Solid understanding of Windows security architecture and system hardening techniques. Preferred Qualifications Experience with PXE boot and BIOS configuration. Experience implementing role-based access control and identity management practices. Experience performing security assessments and remediation. Familiarity with security monitoring tools and SIEM platforms. Knowledge of security frameworks such as NIST, CIS Benchmarks, or ISO 27001. Relevant certifications such as: CompTIA Security+ CISSP Microsoft security or identity certifications GIAC certifications Key Skills Hardware/operating system/software integration Customer-facing technical delivery and documentation Windows security architecture Active Directory administration Group Policy design and implementation Endpoint security and antivirus management Identity and access management (IAM) System hardening and vulnerability remediation Security assessments and remediation Desired Tool Experience Experience with the following tools and applications is highly desirable. Microsoft Hyper-V Virtualization Splunk PDQ RSA Authentication Manager Citizenship Requirements: Must be a U.S. citizen. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: Medical, vision, and dental insurance for employees and dependents Generous paid time off, including 8 designated holidays 401(k) with employer contributions Tuition assistance and student loan assistance Wellness and employee assistance resources Employee stock purchase opportunities Short-term and long-term disability coverage About Us: Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in ten U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.
09/29/2026
Full time
Job Description: We are seeking an experienced Information Security Engineer with strong Microsoft Windows infrastructure expertise to support the delivery of air traffic control systems to our customers. This role will focus on the implementation of Windows-based platforms to provide a secure environment for other Saab software to run in. The ideal candidate will have hands-on experience with Windows Deployment Service, Active Directory, Group Policy management, network design, and hardware/software integration. This position plays a key role in implementing and deploying air traffic control systems for customers, ensuring Windows environments are configured to support our software while meeting safety and security regulations. This role requires both an independent drive to troubleshoot implementation and the ability to work collaboratively with teammates to integrate various system components. Key Responsibilities Architecture Design: Develop, document, and maintain comprehensive security architectures, network designs, and cloud infrastructures Risk & Vulnerability Management: Evaluate deliverable systems to identify weaknesses, perform security reviews, and execute ethical hacks or penetration tests. Leadership & Guidance: Lead information technology analysts, security engineers, and deployment teams to coordinate effective security protocols and align projects with security guidelines Design, implement, and manage Group Policy Objects (GPOs) to enforce security configurations and organizational standards within customer environments. Configure, administer, and harden Windows Server and Windows workstation systems as part of security solution deployments. Implement and maintain Active Directory security configurations, including user/group management, OU structures, and policy enforcement. Design and implement role-based access control (RBAC) and least-privilege access models. Deploy, configure, and manage endpoint protection and antivirus solutions. Apply system hardening practices aligned with industry security frameworks and best practices. Perform security assessments of Windows environments and implement remediation actions. Assist in creating secure configurations, patch processes, and compliance with security policies. Document system configurations, security controls, and deployment procedures for customer environments. Provide technical guidance and knowledge transfer to customer stakeholders when appropriate. Compensation Range: $101,600 - $132,000 The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: Required Qualifications Bachelor's degree in Systems Engineering, Computer Science, Information Technology, Information Security, or a related field (or equivalent experience). 6+ years of experience administering and securing Microsoft Windows environments. Strong hands-on experience with PowerShell scripting and automation. Proven experience creating and managing Windows domains, including development of Group Policy Objects and Active Directory structures. Experience integrating third-party software into Windows environments. Hands-on experience with Windows Deployment Services. Solid understanding of Windows security architecture and system hardening techniques. Preferred Qualifications Experience with PXE boot and BIOS configuration. Experience implementing role-based access control and identity management practices. Experience performing security assessments and remediation. Familiarity with security monitoring tools and SIEM platforms. Knowledge of security frameworks such as NIST, CIS Benchmarks, or ISO 27001. Relevant certifications such as: CompTIA Security+ CISSP Microsoft security or identity certifications GIAC certifications Key Skills Hardware/operating system/software integration Customer-facing technical delivery and documentation Windows security architecture Active Directory administration Group Policy design and implementation Endpoint security and antivirus management Identity and access management (IAM) System hardening and vulnerability remediation Security assessments and remediation Desired Tool Experience Experience with the following tools and applications is highly desirable. Microsoft Hyper-V Virtualization Splunk PDQ RSA Authentication Manager Citizenship Requirements: Must be a U.S. citizen. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: Medical, vision, and dental insurance for employees and dependents Generous paid time off, including 8 designated holidays 401(k) with employer contributions Tuition assistance and student loan assistance Wellness and employee assistance resources Employee stock purchase opportunities Short-term and long-term disability coverage About Us: Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in ten U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.
It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: Santander's Corporate & Investment Banking (CIB) business is seeking an experienced PolyPath Market Risk Specialist with strong technical and business knowledge to support pricing, valuation, and market risk activities within a large banking or capital markets environment. The ideal candidate will have deep expertise in PolyPath, strong hands-on programming skills in Python and Java, and solid knowledge of fixed income products, particularly structured products such as Mortgage-Backed Securities, Collateralized Mortgage Obligations, and other securitized fixed income instruments. Candidate should understand both the business side of market risk and the technical side of supporting large-scale financial systems. They should be comfortable working with traders, risk managers, quants, model teams, developers, and infrastructure teams. This role requires someone who can work closely with front office, risk, finance, model, and technology teams to support risk models, valuation tools, pricing workflows, and market risk systems. Key Responsibilities Support and enhance PolyPath platform capabilities used for pricing, valuation, trading, and market risk workflows. Partner with business, risk, model, and technology teams to translate complex market risk and fixed income requirements into scalable technical solutions. Support market risk processes including sensitivities, stress testing, scenario analysis, VaR, pricing, and valuation workflows. Work with fixed income and structured products, including: Mortgage-Backed Securities Collateralized Mortgage Obligations Asset-backed or securitized products Other structured fixed income instruments Develop, enhance, and troubleshoot applications, scripts, and integration components using Python and Java. Support pricing pipelines, risk data flows, market data integration, and valuation processes within the PolyPath ecosystem. Analyze system issues, performance bottlenecks, data discrepancies, and production incidents related to PolyPath and downstream risk systems. Collaborate with front office, risk, finance, infrastructure, and application development teams to ensure accurate and timely delivery of risk analytics. Support migration, modernization, and integration initiatives involving legacy trading or risk systems and PolyPath architecture. Improve platform stability through automation, monitoring, alerting, and issue resolution processes. . What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education: Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required Qualifications: Expert-level knowledge of PolyPath. Strong experience in market risk, preferably within banking or capital markets. Strong programming skills in Python and Java. Solid understanding of fixed income products, pricing, valuation, and risk analytics. Experience supporting risk models, valuation tools, pricing engines, or market risk platforms. Ability to troubleshoot complex system, data, and pricing issues across multiple technology platforms. Strong analytical skills with the ability to explain technical and market risk concepts clearly to both business and technology teams. Experience working in a large banking, financial services, or regulated financial institution environment. 10+ years of experience in banking, capital markets, financial technology, or market risk technology preferred. Preferred Qualifications Experience working directly with front office, market risk, finance, model validation, or quantitative teams. Strong knowledge of structured fixed income products, especially: MBS CMO ABS Securitized products Understanding of: Pricing Valuation Sensitivities Stress testing VaR Scenario analysis Yield curves Risk factors Market data Experience with system integration using APIs, messaging frameworks, batch processes, or data pipelines. Experience supporting real-time or high-volume capital markets platforms. Strong production support, issue management, and root-cause analysis experience. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $175,000.00 USD Maximum: $220,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.
09/29/2026
Full time
It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: Santander's Corporate & Investment Banking (CIB) business is seeking an experienced PolyPath Market Risk Specialist with strong technical and business knowledge to support pricing, valuation, and market risk activities within a large banking or capital markets environment. The ideal candidate will have deep expertise in PolyPath, strong hands-on programming skills in Python and Java, and solid knowledge of fixed income products, particularly structured products such as Mortgage-Backed Securities, Collateralized Mortgage Obligations, and other securitized fixed income instruments. Candidate should understand both the business side of market risk and the technical side of supporting large-scale financial systems. They should be comfortable working with traders, risk managers, quants, model teams, developers, and infrastructure teams. This role requires someone who can work closely with front office, risk, finance, model, and technology teams to support risk models, valuation tools, pricing workflows, and market risk systems. Key Responsibilities Support and enhance PolyPath platform capabilities used for pricing, valuation, trading, and market risk workflows. Partner with business, risk, model, and technology teams to translate complex market risk and fixed income requirements into scalable technical solutions. Support market risk processes including sensitivities, stress testing, scenario analysis, VaR, pricing, and valuation workflows. Work with fixed income and structured products, including: Mortgage-Backed Securities Collateralized Mortgage Obligations Asset-backed or securitized products Other structured fixed income instruments Develop, enhance, and troubleshoot applications, scripts, and integration components using Python and Java. Support pricing pipelines, risk data flows, market data integration, and valuation processes within the PolyPath ecosystem. Analyze system issues, performance bottlenecks, data discrepancies, and production incidents related to PolyPath and downstream risk systems. Collaborate with front office, risk, finance, infrastructure, and application development teams to ensure accurate and timely delivery of risk analytics. Support migration, modernization, and integration initiatives involving legacy trading or risk systems and PolyPath architecture. Improve platform stability through automation, monitoring, alerting, and issue resolution processes. . What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education: Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required Qualifications: Expert-level knowledge of PolyPath. Strong experience in market risk, preferably within banking or capital markets. Strong programming skills in Python and Java. Solid understanding of fixed income products, pricing, valuation, and risk analytics. Experience supporting risk models, valuation tools, pricing engines, or market risk platforms. Ability to troubleshoot complex system, data, and pricing issues across multiple technology platforms. Strong analytical skills with the ability to explain technical and market risk concepts clearly to both business and technology teams. Experience working in a large banking, financial services, or regulated financial institution environment. 10+ years of experience in banking, capital markets, financial technology, or market risk technology preferred. Preferred Qualifications Experience working directly with front office, market risk, finance, model validation, or quantitative teams. Strong knowledge of structured fixed income products, especially: MBS CMO ABS Securitized products Understanding of: Pricing Valuation Sensitivities Stress testing VaR Scenario analysis Yield curves Risk factors Market data Experience with system integration using APIs, messaging frameworks, batch processes, or data pipelines. Experience supporting real-time or high-volume capital markets platforms. Strong production support, issue management, and root-cause analysis experience. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $175,000.00 USD Maximum: $220,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.
It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: Santander's Corporate & Investment Banking (CIB) business is seeking an experienced PolyPath Market Risk Specialist with strong technical and business knowledge to support pricing, valuation, and market risk activities within a large banking or capital markets environment. The ideal candidate will have deep expertise in PolyPath, strong hands-on programming skills in Python and Java, and solid knowledge of fixed income products, particularly structured products such as Mortgage-Backed Securities, Collateralized Mortgage Obligations, and other securitized fixed income instruments. Candidate should understand both the business side of market risk and the technical side of supporting large-scale financial systems. They should be comfortable working with traders, risk managers, quants, model teams, developers, and infrastructure teams. This role requires someone who can work closely with front office, risk, finance, model, and technology teams to support risk models, valuation tools, pricing workflows, and market risk systems. Key Responsibilities Support and enhance PolyPath platform capabilities used for pricing, valuation, trading, and market risk workflows. Partner with business, risk, model, and technology teams to translate complex market risk and fixed income requirements into scalable technical solutions. Support market risk processes including sensitivities, stress testing, scenario analysis, VaR, pricing, and valuation workflows. Work with fixed income and structured products, including: Mortgage-Backed Securities Collateralized Mortgage Obligations Asset-backed or securitized products Other structured fixed income instruments Develop, enhance, and troubleshoot applications, scripts, and integration components using Python and Java. Support pricing pipelines, risk data flows, market data integration, and valuation processes within the PolyPath ecosystem. Analyze system issues, performance bottlenecks, data discrepancies, and production incidents related to PolyPath and downstream risk systems. Collaborate with front office, risk, finance, infrastructure, and application development teams to ensure accurate and timely delivery of risk analytics. Support migration, modernization, and integration initiatives involving legacy trading or risk systems and PolyPath architecture. Improve platform stability through automation, monitoring, alerting, and issue resolution processes. . What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education: Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required Qualifications: Expert-level knowledge of PolyPath. Strong experience in market risk, preferably within banking or capital markets. Strong programming skills in Python and Java. Solid understanding of fixed income products, pricing, valuation, and risk analytics. Experience supporting risk models, valuation tools, pricing engines, or market risk platforms. Ability to troubleshoot complex system, data, and pricing issues across multiple technology platforms. Strong analytical skills with the ability to explain technical and market risk concepts clearly to both business and technology teams. Experience working in a large banking, financial services, or regulated financial institution environment. 10+ years of experience in banking, capital markets, financial technology, or market risk technology preferred. Preferred Qualifications Experience working directly with front office, market risk, finance, model validation, or quantitative teams. Strong knowledge of structured fixed income products, especially: MBS CMO ABS Securitized products Understanding of: Pricing Valuation Sensitivities Stress testing VaR Scenario analysis Yield curves Risk factors Market data Experience with system integration using APIs, messaging frameworks, batch processes, or data pipelines. Experience supporting real-time or high-volume capital markets platforms. Strong production support, issue management, and root-cause analysis experience. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $175,000.00 USD Maximum: $220,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.
09/29/2026
Full time
It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: Santander's Corporate & Investment Banking (CIB) business is seeking an experienced PolyPath Market Risk Specialist with strong technical and business knowledge to support pricing, valuation, and market risk activities within a large banking or capital markets environment. The ideal candidate will have deep expertise in PolyPath, strong hands-on programming skills in Python and Java, and solid knowledge of fixed income products, particularly structured products such as Mortgage-Backed Securities, Collateralized Mortgage Obligations, and other securitized fixed income instruments. Candidate should understand both the business side of market risk and the technical side of supporting large-scale financial systems. They should be comfortable working with traders, risk managers, quants, model teams, developers, and infrastructure teams. This role requires someone who can work closely with front office, risk, finance, model, and technology teams to support risk models, valuation tools, pricing workflows, and market risk systems. Key Responsibilities Support and enhance PolyPath platform capabilities used for pricing, valuation, trading, and market risk workflows. Partner with business, risk, model, and technology teams to translate complex market risk and fixed income requirements into scalable technical solutions. Support market risk processes including sensitivities, stress testing, scenario analysis, VaR, pricing, and valuation workflows. Work with fixed income and structured products, including: Mortgage-Backed Securities Collateralized Mortgage Obligations Asset-backed or securitized products Other structured fixed income instruments Develop, enhance, and troubleshoot applications, scripts, and integration components using Python and Java. Support pricing pipelines, risk data flows, market data integration, and valuation processes within the PolyPath ecosystem. Analyze system issues, performance bottlenecks, data discrepancies, and production incidents related to PolyPath and downstream risk systems. Collaborate with front office, risk, finance, infrastructure, and application development teams to ensure accurate and timely delivery of risk analytics. Support migration, modernization, and integration initiatives involving legacy trading or risk systems and PolyPath architecture. Improve platform stability through automation, monitoring, alerting, and issue resolution processes. . What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education: Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required Qualifications: Expert-level knowledge of PolyPath. Strong experience in market risk, preferably within banking or capital markets. Strong programming skills in Python and Java. Solid understanding of fixed income products, pricing, valuation, and risk analytics. Experience supporting risk models, valuation tools, pricing engines, or market risk platforms. Ability to troubleshoot complex system, data, and pricing issues across multiple technology platforms. Strong analytical skills with the ability to explain technical and market risk concepts clearly to both business and technology teams. Experience working in a large banking, financial services, or regulated financial institution environment. 10+ years of experience in banking, capital markets, financial technology, or market risk technology preferred. Preferred Qualifications Experience working directly with front office, market risk, finance, model validation, or quantitative teams. Strong knowledge of structured fixed income products, especially: MBS CMO ABS Securitized products Understanding of: Pricing Valuation Sensitivities Stress testing VaR Scenario analysis Yield curves Risk factors Market data Experience with system integration using APIs, messaging frameworks, batch processes, or data pipelines. Experience supporting real-time or high-volume capital markets platforms. Strong production support, issue management, and root-cause analysis experience. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $175,000.00 USD Maximum: $220,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.
AI Engineer 5 (MLXT) 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems 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 Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression 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. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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 . click apply for full job details
09/29/2026
Full time
AI Engineer 5 (MLXT) 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems 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 Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression 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. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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 . click apply for full job details
AI Engineer 4 (MLX) 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 4 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 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services 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 Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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).
09/29/2026
Full time
AI Engineer 4 (MLX) 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 4 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 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services 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 Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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).
AI Engineer 5 (MLXT) 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems 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 Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression 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. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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 . click apply for full job details
09/29/2026
Full time
AI Engineer 5 (MLXT) 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems 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 Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression 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. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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 . click apply for full job details
Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences 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. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 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).
09/29/2026
Full time
Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences 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. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 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).
Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences 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. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 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).
09/29/2026
Full time
Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences 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. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 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).
AI Engineer 4 (MLX) 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 4 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 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services 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 Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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).
09/29/2026
Full time
AI Engineer 4 (MLX) 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 4 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 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services 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 Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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).
JOB SUMMARY Responsible for building the negotiation fact base and conducting negotiations with suppliers for specified categories as part of the category management process. Responsible for managing ongoing cost base and supplier relationship activities, such as; cost changes, earned income programs and contract cost agreements for all Corporate managed suppliers. RESPONSIBILITIES: Sourcing: Negotiate the net cost and Earned Income programs for assigned categories/suppliers. Negotiate, prepare and present supplier award recommendations to senior sourcing leadership. Communicate the results of negotiation activities. Conduct on-going sourcing activities that support the category post-award. Manage and validate steady-state change requests. Develop industry overviews and supplier profiles for each assigned category. Create cost component worksheets for supplier clean-sheet cost buildup. Ensure legal documentation is completed (Hold Harmless, Certificate of Insurance, Supplier Authorization Agreement, Bid Award Purchase Agreement, Terms Change Form). Continually identify new suppliers and initiate the process to engage them. Engage suppliers and refine supplier/product fact base throughout the category management process. Coach suppliers throughout the category process to ensure active participation. Performs strategic sourcing function for specified categories including negotiating, finding and onboarding new suppliers, conflict resolution and problem-solving. Product Cost Management : Negotiate ongoing cost-based activities such as cost changes, program alterations, Earned Income program expirations, and category renewals/extensions. Effectively manages all Supplier initiated price changes by performing complex cost analyses that leverage industry/market data, clean sheet cost build-ups, specific cost component indices, and internal stakeholders to effectively manage Sysco's product costs. Generates required approval form(s) that contain detailed analysis and appropriate levels of supporting data to obtain leadership approval. Manages the implementation of cost changes by working cross-functionally with the Costing Team and Supplier to ensure correct pricing is loaded. Reviews variance reports and resolves any exceptions with suppliers. Works cross-functionally with the Category Director/Manager and the Transfer Price Team, as required, to provide market insight to establish effective transfer pricing. Ensures proper notice of cost adjustments is received by the Supplier and provided to Operating Companies. Manages the effective use of the database of Suppliers' price increases and seeks opportunities for price decreases. Product Program Management: Negotiates new programs with suppliers, using market data and established programs for comparable items to set acceptable earned income rates. Re-negotiates expiring and/or expired program agreements to maintain or enhance profitability. Negotiates program agreements to cover supplier payments for products purchased through DOT. Negotiates the centralization and standardization of Local programs into the corporate programs for all corporately managed suppliers. Generates and negotiates the required agreement form(s) and obtains leadership approval. Works cross-functionally with Agreements Team and Costing to ensure any new or renewed rates match the Supplier's system pricing. Ensures all agreements for corporate managed Suppliers are loaded into the Ariba database. Supplier Management : Contacts suppliers regarding delinquent monthly earned income payments; communicates updates to A/R team and escalates issues to appropriate Strategic Sourcing leadership. Financial Issue Resolution Support: Resolves pricing inaccuracies and AR/AP issues as needed. Additional tasks as required to achieve business results. QUALIFICATIONS: Education Bachelor's degree preferred or applicable experience in merchandising, pricing and/or customer service Experience 7 years Sysco merchandising, pricing and/or customer service experience or equivalent combination of education and industry (foodservice or retail) experience. Master's degree a plus. Track record of fact-based negotiation skills. Solid understanding and utilization of the RFX sourcing process. Highly skilled in data analysis. Knowledge of product and production processes. Understanding of supply chain principals and dynamics. Understanding of the dynamics of supply and demand. Requires excellent Microsoft Excel skill sets, specifically V lookups, manipulating pivot tables, filtering, and sorting functions. Knowledge of mainframe systems/ programs, such as AS240, RME, Tableau, etc., a plus. Ability to effectively collect and use market data to efficiently manage cost. Excellent verbal and written communication skills. Ability to effectively work in a Matrix organization. Project management background a plus. Intrinsic Characteristics Analytical thinker who can pull disparate pieces of data together to form a coherent story. Project management style mindset to manage suppliers through the sourcing process. Ability to effectively balance relationships with suppliers and internal organization. Collaborative team player who can work across functions (e.g., Analytics, Category Leadership, Supply Chain, etc.) to deliver results. Ability to work on multiple projects in a fast-paced environment, adapt to shifting priorities, and be very detail-oriented. Knowledge-driven individual who can quickly build category understanding. Proactive communicator with exceptional communication and presentation skills. (both oral and written) Strong bias for action (self-starter). Physical Demands The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. While performing the duties of this job, the associate is regularly required to sit, stand, walk and use hands and fingers to operate a computer keyboard, mouse, and telephone to talk and hear. The associate is frequently required to sit and reach with hands and arms. The associate must occasionally lift and/or move up to 20 pounds. Work Environment This position must be performed from the corporate facility in Houston, Texas. Must be able to do limited travel to Sysco facilities or operating companies. The work environment characteristics described here are representative of those associate encounters while performing the essential functions of this job. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. The noise level in the work environment is usually moderate. NOTICE: The above statements are intended to describe the general nature of the environment and the level of work being performed by this job. This job description in no way states or implies that these are the only tasks to be performed by the employee in this job. He or she will be required to follow any other instructions and to perform any other job-related duties requested by his or her supervisor. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions. This job description supersedes prior job descriptions.
09/29/2026
Full time
JOB SUMMARY Responsible for building the negotiation fact base and conducting negotiations with suppliers for specified categories as part of the category management process. Responsible for managing ongoing cost base and supplier relationship activities, such as; cost changes, earned income programs and contract cost agreements for all Corporate managed suppliers. RESPONSIBILITIES: Sourcing: Negotiate the net cost and Earned Income programs for assigned categories/suppliers. Negotiate, prepare and present supplier award recommendations to senior sourcing leadership. Communicate the results of negotiation activities. Conduct on-going sourcing activities that support the category post-award. Manage and validate steady-state change requests. Develop industry overviews and supplier profiles for each assigned category. Create cost component worksheets for supplier clean-sheet cost buildup. Ensure legal documentation is completed (Hold Harmless, Certificate of Insurance, Supplier Authorization Agreement, Bid Award Purchase Agreement, Terms Change Form). Continually identify new suppliers and initiate the process to engage them. Engage suppliers and refine supplier/product fact base throughout the category management process. Coach suppliers throughout the category process to ensure active participation. Performs strategic sourcing function for specified categories including negotiating, finding and onboarding new suppliers, conflict resolution and problem-solving. Product Cost Management : Negotiate ongoing cost-based activities such as cost changes, program alterations, Earned Income program expirations, and category renewals/extensions. Effectively manages all Supplier initiated price changes by performing complex cost analyses that leverage industry/market data, clean sheet cost build-ups, specific cost component indices, and internal stakeholders to effectively manage Sysco's product costs. Generates required approval form(s) that contain detailed analysis and appropriate levels of supporting data to obtain leadership approval. Manages the implementation of cost changes by working cross-functionally with the Costing Team and Supplier to ensure correct pricing is loaded. Reviews variance reports and resolves any exceptions with suppliers. Works cross-functionally with the Category Director/Manager and the Transfer Price Team, as required, to provide market insight to establish effective transfer pricing. Ensures proper notice of cost adjustments is received by the Supplier and provided to Operating Companies. Manages the effective use of the database of Suppliers' price increases and seeks opportunities for price decreases. Product Program Management: Negotiates new programs with suppliers, using market data and established programs for comparable items to set acceptable earned income rates. Re-negotiates expiring and/or expired program agreements to maintain or enhance profitability. Negotiates program agreements to cover supplier payments for products purchased through DOT. Negotiates the centralization and standardization of Local programs into the corporate programs for all corporately managed suppliers. Generates and negotiates the required agreement form(s) and obtains leadership approval. Works cross-functionally with Agreements Team and Costing to ensure any new or renewed rates match the Supplier's system pricing. Ensures all agreements for corporate managed Suppliers are loaded into the Ariba database. Supplier Management : Contacts suppliers regarding delinquent monthly earned income payments; communicates updates to A/R team and escalates issues to appropriate Strategic Sourcing leadership. Financial Issue Resolution Support: Resolves pricing inaccuracies and AR/AP issues as needed. Additional tasks as required to achieve business results. QUALIFICATIONS: Education Bachelor's degree preferred or applicable experience in merchandising, pricing and/or customer service Experience 7 years Sysco merchandising, pricing and/or customer service experience or equivalent combination of education and industry (foodservice or retail) experience. Master's degree a plus. Track record of fact-based negotiation skills. Solid understanding and utilization of the RFX sourcing process. Highly skilled in data analysis. Knowledge of product and production processes. Understanding of supply chain principals and dynamics. Understanding of the dynamics of supply and demand. Requires excellent Microsoft Excel skill sets, specifically V lookups, manipulating pivot tables, filtering, and sorting functions. Knowledge of mainframe systems/ programs, such as AS240, RME, Tableau, etc., a plus. Ability to effectively collect and use market data to efficiently manage cost. Excellent verbal and written communication skills. Ability to effectively work in a Matrix organization. Project management background a plus. Intrinsic Characteristics Analytical thinker who can pull disparate pieces of data together to form a coherent story. Project management style mindset to manage suppliers through the sourcing process. Ability to effectively balance relationships with suppliers and internal organization. Collaborative team player who can work across functions (e.g., Analytics, Category Leadership, Supply Chain, etc.) to deliver results. Ability to work on multiple projects in a fast-paced environment, adapt to shifting priorities, and be very detail-oriented. Knowledge-driven individual who can quickly build category understanding. Proactive communicator with exceptional communication and presentation skills. (both oral and written) Strong bias for action (self-starter). Physical Demands The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. While performing the duties of this job, the associate is regularly required to sit, stand, walk and use hands and fingers to operate a computer keyboard, mouse, and telephone to talk and hear. The associate is frequently required to sit and reach with hands and arms. The associate must occasionally lift and/or move up to 20 pounds. Work Environment This position must be performed from the corporate facility in Houston, Texas. Must be able to do limited travel to Sysco facilities or operating companies. The work environment characteristics described here are representative of those associate encounters while performing the essential functions of this job. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. The noise level in the work environment is usually moderate. NOTICE: The above statements are intended to describe the general nature of the environment and the level of work being performed by this job. This job description in no way states or implies that these are the only tasks to be performed by the employee in this job. He or she will be required to follow any other instructions and to perform any other job-related duties requested by his or her supervisor. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions. This job description supersedes prior job descriptions.
Description: We are a family-oriented Midwest based company in Wisconsin, Minnesota, and Michigan. As a result of our growth, we have a need for an Application Engineer to utilize sales and technical capabilities to grow Crane business within an assigned market. Our mission is to help customers succeed. To achieve our mission, we've instilled a culture and environment that encourages new ideas, promotes experimentation, and inspires innovation. Crane Engineering team members impact the organization's success and are recognized for creating "WOW!" customer experiences. What You Get To Do Develops and maintains the product and application knowledge necessary to service internal and external customers within the assigned market. Supports and keeps sales and management staff informed of major projects; assists office and warehouse staff with application and product information. Provides customer and employee product training and sales call technical support. Provides technical sales and marketing support to Crane customers and staff. Provides the highest quality quotations possible for the specific application as outlined by the customer or Account Manager. Accurately prices, verifies contractual obligations, internal costs, agency sales and stock/drop-shipments. Develops the product and application knowledge necessary to service the needs of our customers and sales staff May perform other duties as assigned. Requirements: What We Need From You Bachelor's degree in a related engineering field preferred. Minimum of one-year related experience and/or training; or equivalent combination of education and experience. An engineering professional with appropriate industry/educational experience. A customer-service focused individual that successfully responds to technical and non-technical customer and employee inquiries. An ability to handle a varied and fast-paced workload to meet customer requirements for projects. A well-organized and self-directed team player. Ability to work with various computer programs including vendor-based software. We Are Winning When Our expectations are that team members demonstrate our Core Values. Integrity & Respect - Work with the highest ethical standards, interact openly and directly, honor our commitments and value diversity of styles, roles, and perspectives. Teamwork - Actively collaborate with others to solve problems and create opportunities. Devote ourselves to the team's and others' success. Customer Focus - Make customers the starting point for everything we do. Understanding what they want and expect from us will enable us to earn their loyalty. Excellence & Innovation - Continuously elevate our expertise and knowledge to strengthen our competitive advantage; and always look for ways to apply breakthrough ideas. Passion & Energy - Bring passion and energy to our work so that we are "energy givers", enabling us to own and pursue objectives in spite of obstacles and adversity. Fun! - Enjoy what we do and have fun with each other - celebrate a job well done "25% more fun". Benefits and Team Member Perks Positivity, cohesiveness and celebrating a job well done! Competitive compensation and benefits structure within a values-driven culture Work-life balance; generous paid time off program and ability to participate in Flexible Workplace arrangement Comprehensive health insurance coverage 401k with generous company match Intuitive health and wellness program that rewards participation Community involvement and volunteering opportunities Continuous learning through our talent learning management system - Crane University Apply today and join the team at: Crane Engineering is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, protected veteran status, disability, or any other characteristic protected by law. Crane Engineering also participates in E-Verify to verify identity and employment eligibility. PI1453b26c64e1-3444
09/29/2026
Full time
Description: We are a family-oriented Midwest based company in Wisconsin, Minnesota, and Michigan. As a result of our growth, we have a need for an Application Engineer to utilize sales and technical capabilities to grow Crane business within an assigned market. Our mission is to help customers succeed. To achieve our mission, we've instilled a culture and environment that encourages new ideas, promotes experimentation, and inspires innovation. Crane Engineering team members impact the organization's success and are recognized for creating "WOW!" customer experiences. What You Get To Do Develops and maintains the product and application knowledge necessary to service internal and external customers within the assigned market. Supports and keeps sales and management staff informed of major projects; assists office and warehouse staff with application and product information. Provides customer and employee product training and sales call technical support. Provides technical sales and marketing support to Crane customers and staff. Provides the highest quality quotations possible for the specific application as outlined by the customer or Account Manager. Accurately prices, verifies contractual obligations, internal costs, agency sales and stock/drop-shipments. Develops the product and application knowledge necessary to service the needs of our customers and sales staff May perform other duties as assigned. Requirements: What We Need From You Bachelor's degree in a related engineering field preferred. Minimum of one-year related experience and/or training; or equivalent combination of education and experience. An engineering professional with appropriate industry/educational experience. A customer-service focused individual that successfully responds to technical and non-technical customer and employee inquiries. An ability to handle a varied and fast-paced workload to meet customer requirements for projects. A well-organized and self-directed team player. Ability to work with various computer programs including vendor-based software. We Are Winning When Our expectations are that team members demonstrate our Core Values. Integrity & Respect - Work with the highest ethical standards, interact openly and directly, honor our commitments and value diversity of styles, roles, and perspectives. Teamwork - Actively collaborate with others to solve problems and create opportunities. Devote ourselves to the team's and others' success. Customer Focus - Make customers the starting point for everything we do. Understanding what they want and expect from us will enable us to earn their loyalty. Excellence & Innovation - Continuously elevate our expertise and knowledge to strengthen our competitive advantage; and always look for ways to apply breakthrough ideas. Passion & Energy - Bring passion and energy to our work so that we are "energy givers", enabling us to own and pursue objectives in spite of obstacles and adversity. Fun! - Enjoy what we do and have fun with each other - celebrate a job well done "25% more fun". Benefits and Team Member Perks Positivity, cohesiveness and celebrating a job well done! Competitive compensation and benefits structure within a values-driven culture Work-life balance; generous paid time off program and ability to participate in Flexible Workplace arrangement Comprehensive health insurance coverage 401k with generous company match Intuitive health and wellness program that rewards participation Community involvement and volunteering opportunities Continuous learning through our talent learning management system - Crane University Apply today and join the team at: Crane Engineering is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, protected veteran status, disability, or any other characteristic protected by law. Crane Engineering also participates in E-Verify to verify identity and employment eligibility. PI1453b26c64e1-3444
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose The purpose of the HR/Admin Unit Manager is to ensure the streamlined operation of the IT HR/Admin Unit in alignment with the business objectives of the GBA Department and the AHM IT Business Unit. This individual will plan, coordinate, direct the activities of the HR/Admin Unit, as well as provide administrative direction and support for daily operational activities of the HR/Admin Unit. They will work closely with decision makers across the organization to identify, recommend, develop, implement, and support cost-effective technology solutions and/or services for all aspects of the organization. This person will also define and implement IT policies, procedures, and best practices as it relates to the services and applications supported by the HR/Admin Unit. Key Accountabilities Partner with the Department Manager to shape and advance the strategic vision and direction of AHM IT, the Enterprise System Services Division, and the General Business Applications Department, translating organizational objectives into actionable plans and driving effective execution of divisional and departmental strategies. Build and strengthen strategic partnerships across North America and Honda Global organizations, establish trust, credibility, and alignment through a deep understanding of business needs. Leverage influence, collaboration, and stakeholder engagement to advance enterprise priorities and maximize the achievement of North America IT objectives. Build, develop, and lead high-performing IT teams by fostering a culture of continuous learning, professional growth, and accountability through effective coaching, mentoring, talent development, and performance management. Inspire and empower associates to remain engaged, motivated, and aligned in achieving organizational goals, business objectives, and operational excellence. Lead the successful delivery of the HR/Admin Unit project portfolio by achieving approved annual objectives and ensuring commitments related to schedule, budget, quality, scope, and business value are consistently met Provide leadership and governance for the HR/Admin application portfolio, ensuring reliable operations, strategic alignment, and continuous improvement of enterprise platforms supporting Human Resources, Administration, Time & Attendance, Talent Management, Learning, Employee Services, and Digital Workflow processes. Partner with business leaders to define priorities, develop technology roadmaps, manage service delivery, and drive innovation that enhances organizational effectiveness and user experience. Qualifications, Experience, and Skills Educational qualifications: Must have a Bachelors level college degree in Computer Sciences, Information Systems / IT, Electronics or a related STEM field of study. Minimum work experience: At least 10 years of relevant IT experience in core business systems, preferably in an enterprise environment in the manufacturing industry • Extensive experience leading cross-functional teams, influencing stakeholders, and driving organizational change. • Strong analytical, problem-solving, and decision-making skills with the ability to balance strategic priorities and operational demands. • Excellent written, verbal, and executive communication skills, with the ability to develop clear, concise, and impactful business communications. • Demonstrated experience preparing and delivering presentations to senior leadership and executive management. • Proven experience developing, managing, and forecasting operational and project budgets. • Strong vendor management and contract oversight experience, including performance management and service delivery governance. Other preferred knowledge and experience: • Comprehensive knowledge of enterprise Human Resources and Administration IT systems, including platforms such as ServiceNow HRSD, UKG/Kronos Workforce Management, SuccessFactors, OpenText Info Archive, SAP ECC, Learning Management, Talent Management, and related business applications. • Strong understanding of enterprise application lifecycle management, technology roadmaps, governance, and service delivery best practices. • Proven experience leading large-scale, cross-functional technology initiatives and digital transformation programs. • Excellent understanding of organizational goals, business processes, and strategic planning methodologies. • In-depth knowledge of data privacy, security, compliance, and regulatory requirements applicable to Human Resources and employee data. • Strong understanding of Human Resources, Workforce Management, and Administration business processes, policies, and practices. • Demonstrated success building collaborative partnerships and aligning diverse stakeholder groups to achieve common business objectives. • Experience applying Agile, Lean, and continuous improvement principles to enhance service delivery and operational effectiveness • Strong leadership, coaching, mentoring and talent development capabilities with a focus on building high-performing teams Workstyle This is an onsite job. One remote workday per week may be possible with prior departmental approval Visa sponsorship issues This position is not eligible for work visa sponsorship. What differentiates Honda and makes us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Regional Bonus (when applicable) Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued learning Training and Development Programs Additional Offerings: Lifestyle Account Childcare Reimbursement Account Elder Care Support Tuition Assistance & Student Loan Repayment Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
09/29/2026
Full time
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose The purpose of the HR/Admin Unit Manager is to ensure the streamlined operation of the IT HR/Admin Unit in alignment with the business objectives of the GBA Department and the AHM IT Business Unit. This individual will plan, coordinate, direct the activities of the HR/Admin Unit, as well as provide administrative direction and support for daily operational activities of the HR/Admin Unit. They will work closely with decision makers across the organization to identify, recommend, develop, implement, and support cost-effective technology solutions and/or services for all aspects of the organization. This person will also define and implement IT policies, procedures, and best practices as it relates to the services and applications supported by the HR/Admin Unit. Key Accountabilities Partner with the Department Manager to shape and advance the strategic vision and direction of AHM IT, the Enterprise System Services Division, and the General Business Applications Department, translating organizational objectives into actionable plans and driving effective execution of divisional and departmental strategies. Build and strengthen strategic partnerships across North America and Honda Global organizations, establish trust, credibility, and alignment through a deep understanding of business needs. Leverage influence, collaboration, and stakeholder engagement to advance enterprise priorities and maximize the achievement of North America IT objectives. Build, develop, and lead high-performing IT teams by fostering a culture of continuous learning, professional growth, and accountability through effective coaching, mentoring, talent development, and performance management. Inspire and empower associates to remain engaged, motivated, and aligned in achieving organizational goals, business objectives, and operational excellence. Lead the successful delivery of the HR/Admin Unit project portfolio by achieving approved annual objectives and ensuring commitments related to schedule, budget, quality, scope, and business value are consistently met Provide leadership and governance for the HR/Admin application portfolio, ensuring reliable operations, strategic alignment, and continuous improvement of enterprise platforms supporting Human Resources, Administration, Time & Attendance, Talent Management, Learning, Employee Services, and Digital Workflow processes. Partner with business leaders to define priorities, develop technology roadmaps, manage service delivery, and drive innovation that enhances organizational effectiveness and user experience. Qualifications, Experience, and Skills Educational qualifications: Must have a Bachelors level college degree in Computer Sciences, Information Systems / IT, Electronics or a related STEM field of study. Minimum work experience: At least 10 years of relevant IT experience in core business systems, preferably in an enterprise environment in the manufacturing industry • Extensive experience leading cross-functional teams, influencing stakeholders, and driving organizational change. • Strong analytical, problem-solving, and decision-making skills with the ability to balance strategic priorities and operational demands. • Excellent written, verbal, and executive communication skills, with the ability to develop clear, concise, and impactful business communications. • Demonstrated experience preparing and delivering presentations to senior leadership and executive management. • Proven experience developing, managing, and forecasting operational and project budgets. • Strong vendor management and contract oversight experience, including performance management and service delivery governance. Other preferred knowledge and experience: • Comprehensive knowledge of enterprise Human Resources and Administration IT systems, including platforms such as ServiceNow HRSD, UKG/Kronos Workforce Management, SuccessFactors, OpenText Info Archive, SAP ECC, Learning Management, Talent Management, and related business applications. • Strong understanding of enterprise application lifecycle management, technology roadmaps, governance, and service delivery best practices. • Proven experience leading large-scale, cross-functional technology initiatives and digital transformation programs. • Excellent understanding of organizational goals, business processes, and strategic planning methodologies. • In-depth knowledge of data privacy, security, compliance, and regulatory requirements applicable to Human Resources and employee data. • Strong understanding of Human Resources, Workforce Management, and Administration business processes, policies, and practices. • Demonstrated success building collaborative partnerships and aligning diverse stakeholder groups to achieve common business objectives. • Experience applying Agile, Lean, and continuous improvement principles to enhance service delivery and operational effectiveness • Strong leadership, coaching, mentoring and talent development capabilities with a focus on building high-performing teams Workstyle This is an onsite job. One remote workday per week may be possible with prior departmental approval Visa sponsorship issues This position is not eligible for work visa sponsorship. What differentiates Honda and makes us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Regional Bonus (when applicable) Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued learning Training and Development Programs Additional Offerings: Lifestyle Account Childcare Reimbursement Account Elder Care Support Tuition Assistance & Student Loan Repayment Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
Amazon is seeking a Station Manager to lead operations at a Retail Services & Returns (RSR) station. You will oversee inbound and outbound workflows, inventory accuracy, and safe, efficient handling of retail products and returns. Responsibilities include managing shift leaders and associates, driving performance through KPIs, and ensuring an exceptional customer experience. You will implement process improvements, partner with cross-functional teams, and use data to solve operational challenges. This role requires strong leadership, problem-solving, and communication skills in a fast-paced, high-volume environment. Responsibilities Lead daily operations for an Amazon RSR station, ensuring safety, quality, and productivity targets are met Manage and develop shift leaders and front-line associates through coaching, feedback, and performance reviews Monitor KPIs and use data to optimize throughput, inventory accuracy, and customer experience Oversee inbound and outbound workflows, including receiving, sorting, storage, and dispatch of products and returns Implement process improvements using lean principles and standard work to reduce defects and waste Coordinate labor planning, scheduling, and resource allocation for peak and off-peak periods Ensure compliance with safety, security, and company policy standards across the station Partner with cross-functional Amazon teams to launch new programs and resolve operational issues Drive a customer-obsessed culture focused on speed, reliability, and continuous improvement Report operational performance and action plans to senior leadership Required Skills Operations management Warehouse/logistics management People leadership and team management KPI tracking and performance management Process improvement/Lean Six Sigma Inventory management Labor planning and scheduling Data analysis and reporting (Excel or similar tools) Health and safety compliance Cross-functional communication and collaboration
09/29/2026
Full time
Amazon is seeking a Station Manager to lead operations at a Retail Services & Returns (RSR) station. You will oversee inbound and outbound workflows, inventory accuracy, and safe, efficient handling of retail products and returns. Responsibilities include managing shift leaders and associates, driving performance through KPIs, and ensuring an exceptional customer experience. You will implement process improvements, partner with cross-functional teams, and use data to solve operational challenges. This role requires strong leadership, problem-solving, and communication skills in a fast-paced, high-volume environment. Responsibilities Lead daily operations for an Amazon RSR station, ensuring safety, quality, and productivity targets are met Manage and develop shift leaders and front-line associates through coaching, feedback, and performance reviews Monitor KPIs and use data to optimize throughput, inventory accuracy, and customer experience Oversee inbound and outbound workflows, including receiving, sorting, storage, and dispatch of products and returns Implement process improvements using lean principles and standard work to reduce defects and waste Coordinate labor planning, scheduling, and resource allocation for peak and off-peak periods Ensure compliance with safety, security, and company policy standards across the station Partner with cross-functional Amazon teams to launch new programs and resolve operational issues Drive a customer-obsessed culture focused on speed, reliability, and continuous improvement Report operational performance and action plans to senior leadership Required Skills Operations management Warehouse/logistics management People leadership and team management KPI tracking and performance management Process improvement/Lean Six Sigma Inventory management Labor planning and scheduling Data analysis and reporting (Excel or similar tools) Health and safety compliance Cross-functional communication and collaboration
Description Position Title: Assistant Residential Manager Position Location: Jefferson, WI. Summary: Provides for the day-to-day operation of the residential program by providing coordination and oversight in the areas of quality assurance and client health. Provides overall support to persons served by teaching skills that foster independence and community integration as directed and guided by the person's Individual Service Plan (ISP). Serves as primary backup to the Residential Manager and is a Residential Manager in Training. Essential Duties and Responsibilities: include the following. Other duties may be assigned. Assists in daily delivery of quality residential facilities and programs that meet organizational branding and external licensing standards Coordinates, tracks, and provides/arranges transportation for medical appointments for persons served. Ensures medical appointment outcomes and documentation are communicated/routed to appropriate staff and pharmacy (ex. medication changes, changes in health status, special orders, follow-up appointments, etc.). Ensures person served medications are available as prescribed. Understands and assists the Residential Manager (RM) in effective execution of home and client budgets and finances Acts as second to the Residential Manager (RM) and assumes RC responsibilities in their absence. Participates in On-call rotation Ensures services are provided in accordance with CARF standards, funding sources, licensing agency requirements, and organizations policy. Ensures that all services provided are in accordance with the client's Individual Service Plan (ISP) Communicates effectively (face-to-face, verbal, written, digital) and works collaboratively with the interdisciplinary team Performs other duties as assigned. Requirements Required Competencies: This position also requires proficiency of all DSP competencies at all levels. • Familiarity with CARF standards, organizational standards and policies funding sources, and licensing requirements as applicable • Demonstrates intermediate level written and verbal communication skills • Ability to present themselves professionally in both appearance and communication • Strong understanding of DSP training requirements • Ability to lead and manage others professionally, create and retain interpersonal relationships with all members of the organization and external stakeholders • Demonstrates an active interest in and has the ability to enhance and apply new skills • Good organizational skills and ability to meet deadlines • Has the initiative to guide others in mastering new systems, processes, or programs. • Ability to effectively diffuse negativity with coworkers • Acts as a champion for change. • Ability to independently respond to crisis situations • Demonstrated leadership qualities Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education and/or Experience: High School Diploma or equivalent, one to three years related work experience preferred, or an equivalent combination of training or experience upon hire or promotion. Language Skills: Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals. Ability to write routine reports and correspondence. Ability to speak effectively before groups of customers or employees of the organization. Mathematical Skills: Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rate, ratio, and percent and to draw and interpret bar graphs. Reasoning Ability: Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form. Ability to deal with problems involving several concrete variables in standardized situations. Computer Skills: Knowledge of Microsoft Office Suite Products, Internet, and email. Ability to learn and utilize software programs Certificates, Licenses, Registrations: Ability to complete and maintain all required training in accordance with organizational requirements and County, State, and Federal regulations. Driving Requirements: This position requires that an employee is able to drive for work purposes and must maintain a valid driver's license with a driving record that meets the standards set forth by the organization. This position may require the employee to operate a 15-passenger van and/or lift bus. This position may also require the use of the employee's personal vehicle, which would require valid vehicle insurance. Other Skills and Abilities: Ability to respond to and de-escalate behavioral issues. Strong organizational, time management, and interpersonal skills. Ability to maintain confidentiality. Ability to make sound decisions and problem solve. Ability to establish and maintain effective professional working relationships. Ability to be flexible to meet the needs of the organization. Other Qualifications: Related post secondary education preferred. Knowledge of developmental disabilities. Experience working in a human service related field in a CARF accredited facility desired. Ability to maintain a work schedule that allows for visibility in assigned areas when persons served and staff are present. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee is frequently required to stand and walk. The employee is occasionally required to sit; reach with hands and arms; use hands to finger, handle, or feel; and stoop, kneel, crouch, or crawl. The employee must frequently lift and/or move up to 25 pounds and occasionally lift and/or move up to 50 pounds. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.
09/29/2026
Full time
Description Position Title: Assistant Residential Manager Position Location: Jefferson, WI. Summary: Provides for the day-to-day operation of the residential program by providing coordination and oversight in the areas of quality assurance and client health. Provides overall support to persons served by teaching skills that foster independence and community integration as directed and guided by the person's Individual Service Plan (ISP). Serves as primary backup to the Residential Manager and is a Residential Manager in Training. Essential Duties and Responsibilities: include the following. Other duties may be assigned. Assists in daily delivery of quality residential facilities and programs that meet organizational branding and external licensing standards Coordinates, tracks, and provides/arranges transportation for medical appointments for persons served. Ensures medical appointment outcomes and documentation are communicated/routed to appropriate staff and pharmacy (ex. medication changes, changes in health status, special orders, follow-up appointments, etc.). Ensures person served medications are available as prescribed. Understands and assists the Residential Manager (RM) in effective execution of home and client budgets and finances Acts as second to the Residential Manager (RM) and assumes RC responsibilities in their absence. Participates in On-call rotation Ensures services are provided in accordance with CARF standards, funding sources, licensing agency requirements, and organizations policy. Ensures that all services provided are in accordance with the client's Individual Service Plan (ISP) Communicates effectively (face-to-face, verbal, written, digital) and works collaboratively with the interdisciplinary team Performs other duties as assigned. Requirements Required Competencies: This position also requires proficiency of all DSP competencies at all levels. • Familiarity with CARF standards, organizational standards and policies funding sources, and licensing requirements as applicable • Demonstrates intermediate level written and verbal communication skills • Ability to present themselves professionally in both appearance and communication • Strong understanding of DSP training requirements • Ability to lead and manage others professionally, create and retain interpersonal relationships with all members of the organization and external stakeholders • Demonstrates an active interest in and has the ability to enhance and apply new skills • Good organizational skills and ability to meet deadlines • Has the initiative to guide others in mastering new systems, processes, or programs. • Ability to effectively diffuse negativity with coworkers • Acts as a champion for change. • Ability to independently respond to crisis situations • Demonstrated leadership qualities Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education and/or Experience: High School Diploma or equivalent, one to three years related work experience preferred, or an equivalent combination of training or experience upon hire or promotion. Language Skills: Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals. Ability to write routine reports and correspondence. Ability to speak effectively before groups of customers or employees of the organization. Mathematical Skills: Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rate, ratio, and percent and to draw and interpret bar graphs. Reasoning Ability: Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form. Ability to deal with problems involving several concrete variables in standardized situations. Computer Skills: Knowledge of Microsoft Office Suite Products, Internet, and email. Ability to learn and utilize software programs Certificates, Licenses, Registrations: Ability to complete and maintain all required training in accordance with organizational requirements and County, State, and Federal regulations. Driving Requirements: This position requires that an employee is able to drive for work purposes and must maintain a valid driver's license with a driving record that meets the standards set forth by the organization. This position may require the employee to operate a 15-passenger van and/or lift bus. This position may also require the use of the employee's personal vehicle, which would require valid vehicle insurance. Other Skills and Abilities: Ability to respond to and de-escalate behavioral issues. Strong organizational, time management, and interpersonal skills. Ability to maintain confidentiality. Ability to make sound decisions and problem solve. Ability to establish and maintain effective professional working relationships. Ability to be flexible to meet the needs of the organization. Other Qualifications: Related post secondary education preferred. Knowledge of developmental disabilities. Experience working in a human service related field in a CARF accredited facility desired. Ability to maintain a work schedule that allows for visibility in assigned areas when persons served and staff are present. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee is frequently required to stand and walk. The employee is occasionally required to sit; reach with hands and arms; use hands to finger, handle, or feel; and stoop, kneel, crouch, or crawl. The employee must frequently lift and/or move up to 25 pounds and occasionally lift and/or move up to 50 pounds. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.
Arnold & Porter is an international law firm with offices across the United States, Europe, and Asia. The firm provides sophisticated regulatory, litigation, and transactional services to clients across a broad range of industries, including more than half of the Fortune 100. We are seeking a detail-oriented Human Resources Data Analyst to support critical compensation, pay-equity, and compliance initiatives for professional staff. This role will partner closely with the Chief Human Resources Officer, HR colleagues, and firm leaders to analyze salary structures, support competitive market positioning, and help ensure compliance with evolving pay-transparency requirements. The Analyst will work in our Washington, DC office in a hybrid schedule. Key Responsibilities Analyze professional staff compensation to support the firm's strategy, mission, competitive market position, and legal compliance. Conduct compensation analyses and market pricing for roles, considering market trends, internal equity, engagement, and retention. Partner with the CHRO, HR team members, and Chiefs/Directors to provide compensation guidance for recruiting, offers, and pay-equity decisions. Maintain and evaluate compensation programs, processes, tools, and systems in compliance with applicable federal, state, and local laws and regulations. Support pay-transparency compliance across applicable jurisdictions. Assist with affirmative action planning as it relates to pay equity and compensation structure. Research compensation best practices, salary-survey data, economic conditions, and law-firm market trends; recommend program enhancements as appropriate. Handle the completion of law-firm industry salary surveys. Develop compensation communications and resources that help leaders and managers understand compensation programs. Help develop, implement, and maintain compensation processes, tools, and systems. Analyze and update compensation-related policies and procedures, including wage-and-hour and competitive-pay practices. Assist with reviewing and updating professional staff job descriptions in partnership with HR leadership. Analyze FLSA classifications, EEO codes, job codes, and exemption status; recommend resolutions and compensation adjustments when appropriate. Perform related administrative responsibilities and special projects. Qualifications Bachelor's degree required; business-related field preferred. At least three years of data analytics experience or equivalent supporting a large, multi-location employer; professional services experience is preferred. Advanced Excel skills, including macros and pivot tables; experience with Smartsheet is preferred. Proficiency with Microsoft Office and Windows operating systems. Experience with HRIS platforms, such as UKG/UltiPro or similar systems, is a plus. Strong quantitative, analytical, research, and problem-solving skills. Ability to manipulate, summarize, and interpret data accurately while maintaining data integrity. Excellent written and verbal communication skills, with the ability to work effectively with stakeholders at all levels. Sound judgment, discretion, and professionalism in handling confidential and sensitive information. Strong organizational, project-management, and time-management skills, with the ability to manage competing priorities and deadlines. Strategic mindset, strong attention to detail, and ability to thrive in a fast-paced environment. Ability to work independently, exercise sound decision-making, and follow through to achieve results. Please submit a resume and cover letter for consideration. The anticipated base salary for this position is $82,400 to $110,000. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location in which the applicant lives and/or from which they will be performing the job. For benefits information, please click here . The firm may provide a discretionary bonus annually. Arnold & Porter is an equal opportunity employer that does not discriminate on the basis of race, color, creed, religion, national origin, sex, pregnancy and childbirth (including breastfeeding and related medical conditions), age, marital or partnership status, familial status, sexual orientation, gender, gender identity, gender expression, transgender, physical or mental disability, medical condition, family leave status, citizenship status, immigration status, ancestry, genetic information, military or veteran status, or any other characteristic protected by local, state or federal laws, rules or regulations. Our Firm's equal opportunity policy applies to all employment practices and terms and conditions, including, without limitation, recruitment, employment, assignment, training, compensation, benefits, promotions, disciplinary action and terminations. For purposes of the firm's Anti-discrimination and Anti-harassment Policies, the term "race" includes, without limitation, traits historically associated with race, including, but not limited to, hair texture and protective hairstyles, such as braids, locks, and twists. Arnold & Porter Kaye Scholer LLP endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact Director of Support Staff Stephanie Denmark at +1 . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. For our EEO Policy Statement, please click here . If you would like more information about your EEO rights as an applicant under the law, please click Know Your Rights . Arnold & Porter Kaye Scholer LLP uses E-Verify, which is a web-based system, to confirm the eligibility of our employees to work in the United States. As an E-Verify employer, we verify the identity and employment eligibility of newly hired employees by electronically matching information provided by employees on the Form I-9, Employment Eligibility Verification, against records available to the Social Security Administration (SSA) and the Department of Homeland Security (DHS). We use E-Verify because we are a federal contractor containing the Federal Acquisition Regulation (FAR) E-Verify clause. Please see the posters for details regarding E-Verify or contact Arnold & Porter Kaye Scholer LLP's Human Resources Department for more information. E-Verify Participation Poster and Right-to-work Poster .
09/29/2026
Full time
Arnold & Porter is an international law firm with offices across the United States, Europe, and Asia. The firm provides sophisticated regulatory, litigation, and transactional services to clients across a broad range of industries, including more than half of the Fortune 100. We are seeking a detail-oriented Human Resources Data Analyst to support critical compensation, pay-equity, and compliance initiatives for professional staff. This role will partner closely with the Chief Human Resources Officer, HR colleagues, and firm leaders to analyze salary structures, support competitive market positioning, and help ensure compliance with evolving pay-transparency requirements. The Analyst will work in our Washington, DC office in a hybrid schedule. Key Responsibilities Analyze professional staff compensation to support the firm's strategy, mission, competitive market position, and legal compliance. Conduct compensation analyses and market pricing for roles, considering market trends, internal equity, engagement, and retention. Partner with the CHRO, HR team members, and Chiefs/Directors to provide compensation guidance for recruiting, offers, and pay-equity decisions. Maintain and evaluate compensation programs, processes, tools, and systems in compliance with applicable federal, state, and local laws and regulations. Support pay-transparency compliance across applicable jurisdictions. Assist with affirmative action planning as it relates to pay equity and compensation structure. Research compensation best practices, salary-survey data, economic conditions, and law-firm market trends; recommend program enhancements as appropriate. Handle the completion of law-firm industry salary surveys. Develop compensation communications and resources that help leaders and managers understand compensation programs. Help develop, implement, and maintain compensation processes, tools, and systems. Analyze and update compensation-related policies and procedures, including wage-and-hour and competitive-pay practices. Assist with reviewing and updating professional staff job descriptions in partnership with HR leadership. Analyze FLSA classifications, EEO codes, job codes, and exemption status; recommend resolutions and compensation adjustments when appropriate. Perform related administrative responsibilities and special projects. Qualifications Bachelor's degree required; business-related field preferred. At least three years of data analytics experience or equivalent supporting a large, multi-location employer; professional services experience is preferred. Advanced Excel skills, including macros and pivot tables; experience with Smartsheet is preferred. Proficiency with Microsoft Office and Windows operating systems. Experience with HRIS platforms, such as UKG/UltiPro or similar systems, is a plus. Strong quantitative, analytical, research, and problem-solving skills. Ability to manipulate, summarize, and interpret data accurately while maintaining data integrity. Excellent written and verbal communication skills, with the ability to work effectively with stakeholders at all levels. Sound judgment, discretion, and professionalism in handling confidential and sensitive information. Strong organizational, project-management, and time-management skills, with the ability to manage competing priorities and deadlines. Strategic mindset, strong attention to detail, and ability to thrive in a fast-paced environment. Ability to work independently, exercise sound decision-making, and follow through to achieve results. Please submit a resume and cover letter for consideration. The anticipated base salary for this position is $82,400 to $110,000. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location in which the applicant lives and/or from which they will be performing the job. For benefits information, please click here . The firm may provide a discretionary bonus annually. Arnold & Porter is an equal opportunity employer that does not discriminate on the basis of race, color, creed, religion, national origin, sex, pregnancy and childbirth (including breastfeeding and related medical conditions), age, marital or partnership status, familial status, sexual orientation, gender, gender identity, gender expression, transgender, physical or mental disability, medical condition, family leave status, citizenship status, immigration status, ancestry, genetic information, military or veteran status, or any other characteristic protected by local, state or federal laws, rules or regulations. Our Firm's equal opportunity policy applies to all employment practices and terms and conditions, including, without limitation, recruitment, employment, assignment, training, compensation, benefits, promotions, disciplinary action and terminations. For purposes of the firm's Anti-discrimination and Anti-harassment Policies, the term "race" includes, without limitation, traits historically associated with race, including, but not limited to, hair texture and protective hairstyles, such as braids, locks, and twists. Arnold & Porter Kaye Scholer LLP endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact Director of Support Staff Stephanie Denmark at +1 . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. For our EEO Policy Statement, please click here . If you would like more information about your EEO rights as an applicant under the law, please click Know Your Rights . Arnold & Porter Kaye Scholer LLP uses E-Verify, which is a web-based system, to confirm the eligibility of our employees to work in the United States. As an E-Verify employer, we verify the identity and employment eligibility of newly hired employees by electronically matching information provided by employees on the Form I-9, Employment Eligibility Verification, against records available to the Social Security Administration (SSA) and the Department of Homeland Security (DHS). We use E-Verify because we are a federal contractor containing the Federal Acquisition Regulation (FAR) E-Verify clause. Please see the posters for details regarding E-Verify or contact Arnold & Porter Kaye Scholer LLP's Human Resources Department for more information. E-Verify Participation Poster and Right-to-work Poster .
Job Description Job Description We are seeking a Data Center Technician to support fiber optic and copper cabling installations within active data center construction environments. The technician will be responsible for cable pulling, routing, dressing, porting, termination, testing, and troubleshooting while maintaining a strong focus on safety, quality, and productivity . Key Responsibilities Pull, route, dress, and secure fiber optic and copper cabling . Install cabling through ladder racks, cable trays, conduit, innerduct, and other approved pathways . Port and connect fiber optic cabling while ensuring proper routing and polarity. Terminate copper cabling, including jacks, patch panels, and connectors . Test fiber and copper cabling using Fluke, VIAVI, EXFO, or similar test equipment . Troubleshoot cabling and connectivity issues, including fiber loss, failed terminations, and polarity issues . Read and follow construction drawings, cable schedules, and work instructions . Maintain a clean, organized, and safe work area. Follow all site-specific safety, PPE, security, and quality requirements . Work effectively in an active construction environment while meeting established production and quality expectations . Demonstrate strong attention to detail and commitment to quality workmanship. Required Qualifications Previous experience in structured cabling, telecommunications, fiber optics, or data center construction . Hands-on experience pulling and installing fiber optic and copper cabling . Experience terminating copper cabling. Ability to test and troubleshoot fiber and copper cabling . Experience using Fluke, VIAVI, EXFO, or similar testing equipment is preferred. Ability to work 12-hour shifts , including day or night shifts. Ability to work safely and effectively in an active construction environment . Strong attention to detail and commitment to quality workmanship. Work Environment Active data center construction environment. Requires adherence to site-specific safety, PPE, security, and quality standards . Ability to work extended 12-hour shifts , including day and night schedules. Company Description • What you didn't know about us: • Competitive salary • Health, Dental and Vision Benefits • Short/Long Term Disability and Critical Care/Illness Protection • Life Insurance and Retirement Plans • Employee Assistance Program • With this position, you will get the opportunity to work with our game changing clients and further advance your already valuable experience in the telecom industry! • We are Connectors. We thrive on 'quality over quantity' and put in the work building strong relationships. We create connections, discover qualities, uncover skills, and place people with accuracy. We are your true partner! • We are Collaborators. You'll be working with a wholly-owned subsidiary of Kelly and part of the Kelly Telecom division. It allows us to be as nimble and fiercely competitive as a startup while having the backing of a multibillion dollar publicly traded company which has been in business for 75 years. With direct access to hiring managers, services don't stop at standard recruiting processes. We use our expertise to improve your application skills and provide ongoing career support. • We give 24/7 Support. We are in this together. We provide around the clock availability, competitive employee benefits, and continuously check-in to make sure things are going smoothly. Check out our Glassdoor page! • Kelly Telecom is an equal opportunity employer and will consider all applications without regard to race, genetic information, sex, age, color, religion, national origin, veteran status, disability, or any other characteristic protected by law. • For more information click Equal Employment Opportunity is the law. • You should know: Your safety matters! Vaccination against COVID-19 may be a requirement for this job in compliance with current client and governmental policies. A recruiter will confirm and share more details with you during the interview process. Company Description • What you didn't know about us: • Competitive salary • Health, Dental and Vision Benefits • Short/Long Term Disability and Critical Care/Illness Protection • Life Insurance and Retirement Plans • Employee Assistance Program • With this position, you will get the opportunity to work with our game changing clients and further advance your already valuable experience in the telecom industry! • We are Connectors. We thrive on 'quality over quantity' and put in the work building strong relationships. We create connections, discover qualities, uncover skills, and place people with accuracy. We are your true partner! • We are Collaborators. You'll be working with a wholly-owned subsidiary of Kelly and part of the Kelly Telecom division. It allows us to be as nimble and fiercely competitive as a startup while having the backing of a multibillion dollar publicly traded company which has been in business for 75 years. With direct access to hiring managers, services don't stop at standard recruiting processes. We use our expertise to improve your application skills and provide ongoing career support. • We give 24/7 Support. We are in this together. We provide around the clock availability, competitive employee benefits, and continuously check-in to make sure things are going smoothly. Check out our Glassdoor page! • Kelly Telecom is an equal opportunity employer and will consider all applications without regard to race, genetic information, sex, age, color, religion, national origin, veteran status, disability, or any other characteristic protected by law. • For more information click Equal Employment Opportunity is the law. • You should know: Your safety matters! Vaccination against COVID-19 may be a requirement for this job in compliance with current client and governmental policies. A recruiter will confirm and share more details with you during the interview process.
09/28/2026
Full time
Job Description Job Description We are seeking a Data Center Technician to support fiber optic and copper cabling installations within active data center construction environments. The technician will be responsible for cable pulling, routing, dressing, porting, termination, testing, and troubleshooting while maintaining a strong focus on safety, quality, and productivity . Key Responsibilities Pull, route, dress, and secure fiber optic and copper cabling . Install cabling through ladder racks, cable trays, conduit, innerduct, and other approved pathways . Port and connect fiber optic cabling while ensuring proper routing and polarity. Terminate copper cabling, including jacks, patch panels, and connectors . Test fiber and copper cabling using Fluke, VIAVI, EXFO, or similar test equipment . Troubleshoot cabling and connectivity issues, including fiber loss, failed terminations, and polarity issues . Read and follow construction drawings, cable schedules, and work instructions . Maintain a clean, organized, and safe work area. Follow all site-specific safety, PPE, security, and quality requirements . Work effectively in an active construction environment while meeting established production and quality expectations . Demonstrate strong attention to detail and commitment to quality workmanship. Required Qualifications Previous experience in structured cabling, telecommunications, fiber optics, or data center construction . Hands-on experience pulling and installing fiber optic and copper cabling . Experience terminating copper cabling. Ability to test and troubleshoot fiber and copper cabling . Experience using Fluke, VIAVI, EXFO, or similar testing equipment is preferred. Ability to work 12-hour shifts , including day or night shifts. Ability to work safely and effectively in an active construction environment . Strong attention to detail and commitment to quality workmanship. Work Environment Active data center construction environment. Requires adherence to site-specific safety, PPE, security, and quality standards . Ability to work extended 12-hour shifts , including day and night schedules. Company Description • What you didn't know about us: • Competitive salary • Health, Dental and Vision Benefits • Short/Long Term Disability and Critical Care/Illness Protection • Life Insurance and Retirement Plans • Employee Assistance Program • With this position, you will get the opportunity to work with our game changing clients and further advance your already valuable experience in the telecom industry! • We are Connectors. We thrive on 'quality over quantity' and put in the work building strong relationships. We create connections, discover qualities, uncover skills, and place people with accuracy. We are your true partner! • We are Collaborators. You'll be working with a wholly-owned subsidiary of Kelly and part of the Kelly Telecom division. It allows us to be as nimble and fiercely competitive as a startup while having the backing of a multibillion dollar publicly traded company which has been in business for 75 years. With direct access to hiring managers, services don't stop at standard recruiting processes. We use our expertise to improve your application skills and provide ongoing career support. • We give 24/7 Support. We are in this together. We provide around the clock availability, competitive employee benefits, and continuously check-in to make sure things are going smoothly. Check out our Glassdoor page! • Kelly Telecom is an equal opportunity employer and will consider all applications without regard to race, genetic information, sex, age, color, religion, national origin, veteran status, disability, or any other characteristic protected by law. • For more information click Equal Employment Opportunity is the law. • You should know: Your safety matters! Vaccination against COVID-19 may be a requirement for this job in compliance with current client and governmental policies. A recruiter will confirm and share more details with you during the interview process. Company Description • What you didn't know about us: • Competitive salary • Health, Dental and Vision Benefits • Short/Long Term Disability and Critical Care/Illness Protection • Life Insurance and Retirement Plans • Employee Assistance Program • With this position, you will get the opportunity to work with our game changing clients and further advance your already valuable experience in the telecom industry! • We are Connectors. We thrive on 'quality over quantity' and put in the work building strong relationships. We create connections, discover qualities, uncover skills, and place people with accuracy. We are your true partner! • We are Collaborators. You'll be working with a wholly-owned subsidiary of Kelly and part of the Kelly Telecom division. It allows us to be as nimble and fiercely competitive as a startup while having the backing of a multibillion dollar publicly traded company which has been in business for 75 years. With direct access to hiring managers, services don't stop at standard recruiting processes. We use our expertise to improve your application skills and provide ongoing career support. • We give 24/7 Support. We are in this together. We provide around the clock availability, competitive employee benefits, and continuously check-in to make sure things are going smoothly. Check out our Glassdoor page! • Kelly Telecom is an equal opportunity employer and will consider all applications without regard to race, genetic information, sex, age, color, religion, national origin, veteran status, disability, or any other characteristic protected by law. • For more information click Equal Employment Opportunity is the law. • You should know: Your safety matters! Vaccination against COVID-19 may be a requirement for this job in compliance with current client and governmental policies. A recruiter will confirm and share more details with you during the interview process.
Job Description Job Description Description The Internal Systems Technician serves as the technical backbone for internal operations, supporting team members across Louisiana, Texas, and Georgia. This role manages internal service desk escalations, maintains documentation and automation workflows, and oversees the technical onboarding and offboarding lifecycle. Acting as a core Tier 2 resource, the technician bridges day-to-day user support with systems administration-maintaining core Microsoft cloud infrastructure, diagnosing advanced endpoint and network issues, and driving continuous operational reliability. Key Responsibilities L2 Incident Escalation & Systems Support: Serve as the primary escalation point for internal service tickets via ConnectWise PSA. Conduct root-cause analysis on recurring technical faults, resolve complex application and OS crashes, and address advanced system issues: Identity & Directory Services: Manage hybrid identity synchronization, troubleshoot Microsoft Entra ID (Azure AD Connect / Cloud Sync), and resolve complex on-prem Active Directory, DNS, and GPO conflicts. Microsoft 365 Administration: Troubleshoot advanced Exchange Online mail flow, transport rules, message trace diagnostics, shared mailbox delegation, and OneDrive/SharePoint access governance. Endpoint & Intune Management: Build, deploy, and remediate Windows endpoint configurations using Microsoft Intune (Endpoint Manager), including compliance policies, configuration profiles, BitLocker recovery, and Autopilot deployment. Network & Connectivity: Diagnose internal VLAN segmentation, switch port mappings, VPN client/gateway routing, firewall policies, and VoIP jitter/packet-loss issues. Advanced OS Remediation: Perform deep registry modifications, profile corruption fixes, driver-level debugging, and Windows Event Viewer log forensics. Provisioning & Endpoint Lifecycle: Own end-to-end hardware/software deployment and decommissioning. Standardize zero-touch or light-touch imaging and configuration using Microsoft Intune, Windows Autopilot, and immy.bot. Internal Infrastructure & Collaboration Administration: Maintain internal collaboration structures, guest access controls, retention policies, and shared storage hierarchies across Microsoft Teams and SharePoint Online. Security, Compliance & Access Hygiene: Enforce Role-Based Access Control (RBAC) and least-privilege principles. Monitor identity security policies, Conditional Access rules, self-service password reset (SSPR), and endpoint defense platforms including DUO MFA, Huntress, and Avanan. Automation & Scripting: Leverage PowerShell to automate recurring admin tasks, bulk user provisioning, license assignments, and tenant reporting. Partner with team leads to build workflows in Rewst, zofIQ, and Power Automate. Documentation & Asset Governance: Maintain internal Standard Operating Procedures (SOPs) and infrastructure architecture diagrams in Hudu. Track hardware depreciation, lifecycle health, and Microsoft licensing tiers via Lifecycle Manager. Skills, Knowledge and Expertise Experience: 2-4 years of progressive IT systems support or MSP experience handling Tier 2 ticket resolution and identity workflows. Microsoft Cloud & Identity Stack: Proficiency with Microsoft 365 Admin Center, Exchange Admin Center, and Microsoft Entra ID. Practical experience managing and enrolling devices through Microsoft Intune / Endpoint Manager. Familiarity with Conditional Access policies, Microsoft Defender for Endpoint/Office 365, and modern authentication frameworks. Working knowledge of hybrid directory structures (Active Directory + Entra ID synchronization). Scripting & Command Line: Practical ability to run and modify basic PowerShell scripts for M365 tenant management and client troubleshooting. Networking Fundamentals: Solid understanding of TCP/IP, subnetting, DHCP reservations, DNS record management, VLAN routing, and IPsec/SSL VPNs. Platform & Tooling Ecosystem: Core & PSA/RMM: ConnectWise PSA/Manage, ConnectWise Automate/RMM, Auvik. Security & Provisioning: Huntress, Avanan/Check Point, DUO Security, immy.bot. Documentation & Automation: Hudu, Liongard, Lifecycle Manager, Rewst. Core Competencies: Analytical problem-solving mindset, methodical incident isolation skills, clear technical documentation habits, and polished communication when collaborating with cross-functional internal stakeholders. Preferred Certifications: Microsoft Certified: Endpoint Administrator Associate (MD-102), Microsoft 365 Certified: Fundamentals (MS-900), CompTIA Network+, or CompTIA Security+. Benefits Health & Wellness: Medical, dental, and vision insurance. Life Insurance: Employer-paid life insurance. Retirement: 401(k) retirement plan with company match. Time Off: Paid Time Off (PTO) and paid company holidays. Growth & Culture: Professional development and training opportunities, career advancement pathways, and employee recognition programs.
09/28/2026
Full time
Job Description Job Description Description The Internal Systems Technician serves as the technical backbone for internal operations, supporting team members across Louisiana, Texas, and Georgia. This role manages internal service desk escalations, maintains documentation and automation workflows, and oversees the technical onboarding and offboarding lifecycle. Acting as a core Tier 2 resource, the technician bridges day-to-day user support with systems administration-maintaining core Microsoft cloud infrastructure, diagnosing advanced endpoint and network issues, and driving continuous operational reliability. Key Responsibilities L2 Incident Escalation & Systems Support: Serve as the primary escalation point for internal service tickets via ConnectWise PSA. Conduct root-cause analysis on recurring technical faults, resolve complex application and OS crashes, and address advanced system issues: Identity & Directory Services: Manage hybrid identity synchronization, troubleshoot Microsoft Entra ID (Azure AD Connect / Cloud Sync), and resolve complex on-prem Active Directory, DNS, and GPO conflicts. Microsoft 365 Administration: Troubleshoot advanced Exchange Online mail flow, transport rules, message trace diagnostics, shared mailbox delegation, and OneDrive/SharePoint access governance. Endpoint & Intune Management: Build, deploy, and remediate Windows endpoint configurations using Microsoft Intune (Endpoint Manager), including compliance policies, configuration profiles, BitLocker recovery, and Autopilot deployment. Network & Connectivity: Diagnose internal VLAN segmentation, switch port mappings, VPN client/gateway routing, firewall policies, and VoIP jitter/packet-loss issues. Advanced OS Remediation: Perform deep registry modifications, profile corruption fixes, driver-level debugging, and Windows Event Viewer log forensics. Provisioning & Endpoint Lifecycle: Own end-to-end hardware/software deployment and decommissioning. Standardize zero-touch or light-touch imaging and configuration using Microsoft Intune, Windows Autopilot, and immy.bot. Internal Infrastructure & Collaboration Administration: Maintain internal collaboration structures, guest access controls, retention policies, and shared storage hierarchies across Microsoft Teams and SharePoint Online. Security, Compliance & Access Hygiene: Enforce Role-Based Access Control (RBAC) and least-privilege principles. Monitor identity security policies, Conditional Access rules, self-service password reset (SSPR), and endpoint defense platforms including DUO MFA, Huntress, and Avanan. Automation & Scripting: Leverage PowerShell to automate recurring admin tasks, bulk user provisioning, license assignments, and tenant reporting. Partner with team leads to build workflows in Rewst, zofIQ, and Power Automate. Documentation & Asset Governance: Maintain internal Standard Operating Procedures (SOPs) and infrastructure architecture diagrams in Hudu. Track hardware depreciation, lifecycle health, and Microsoft licensing tiers via Lifecycle Manager. Skills, Knowledge and Expertise Experience: 2-4 years of progressive IT systems support or MSP experience handling Tier 2 ticket resolution and identity workflows. Microsoft Cloud & Identity Stack: Proficiency with Microsoft 365 Admin Center, Exchange Admin Center, and Microsoft Entra ID. Practical experience managing and enrolling devices through Microsoft Intune / Endpoint Manager. Familiarity with Conditional Access policies, Microsoft Defender for Endpoint/Office 365, and modern authentication frameworks. Working knowledge of hybrid directory structures (Active Directory + Entra ID synchronization). Scripting & Command Line: Practical ability to run and modify basic PowerShell scripts for M365 tenant management and client troubleshooting. Networking Fundamentals: Solid understanding of TCP/IP, subnetting, DHCP reservations, DNS record management, VLAN routing, and IPsec/SSL VPNs. Platform & Tooling Ecosystem: Core & PSA/RMM: ConnectWise PSA/Manage, ConnectWise Automate/RMM, Auvik. Security & Provisioning: Huntress, Avanan/Check Point, DUO Security, immy.bot. Documentation & Automation: Hudu, Liongard, Lifecycle Manager, Rewst. Core Competencies: Analytical problem-solving mindset, methodical incident isolation skills, clear technical documentation habits, and polished communication when collaborating with cross-functional internal stakeholders. Preferred Certifications: Microsoft Certified: Endpoint Administrator Associate (MD-102), Microsoft 365 Certified: Fundamentals (MS-900), CompTIA Network+, or CompTIA Security+. Benefits Health & Wellness: Medical, dental, and vision insurance. Life Insurance: Employer-paid life insurance. Retirement: 401(k) retirement plan with company match. Time Off: Paid Time Off (PTO) and paid company holidays. Growth & Culture: Professional development and training opportunities, career advancement pathways, and employee recognition programs.
