Senior Lead, Machine Learning Engineer (GenAI, Python, AWS) As a Capital One Senior Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design , develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Operations, 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. 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 At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical 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 Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/04/2026
Full time
Senior Lead, Machine Learning Engineer (GenAI, Python, AWS) As a Capital One Senior Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design , develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Operations, 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. 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 At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical 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 Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Who We Are At Manchester Mills, a division of Guest Worldwide, we believe in the power of life's little comforts - delivering uniquely exceptional guest experiences through uncompromising quality and a relentless passion for innovation. As one of the world's leading hospitality textile producers, we are committed to meeting the ever-changing needs of our customers, while making responsible choices to shrink our ecological footprint and protect the health of our customers and team members. For more information, visit . Position Purpose: This position is primarily focused on generating revenue from the acquisition of new accounts within the Independent Channel. Sales targets are determined by a set of criteria established and assigned by sales management. The utilization of strategic and diligent prospecting along with disciplined planning, excellent relationship building and closing skills is essential to consistently developing a successful pipeline of new account revenue. Collaboration with the Corporate Accounts Management Group team and the Guest Supply field sales team in the assigned region will also be key in maximizing results. This position will be located in the sales region supported by the role and will include travel within your assigned territory, to management groups in additional territories (as needed) and to trade shows (as needed). Territory includes prospective accounts in multiple states in a defined geographic region Primary Responsibilities: New business acquisition in Support of Manchester Mills Consistently generate revenue from new accounts within the Independent hotel market to meet or exceed the sales target determined for the territory. Achieve assigned sales goals and metrics. Development of an overall territory plan and strategy that identifies the customers and products needed to deliver sales targets and leverages relationships of Guest Supply TMs in the territory to increase pipeline. Build strong relationships across a variety of customer organizational levels and functions at target properties (GM, Rooms / Operations, Housekeeping, Procurement). Gathers relevant information about prospects to be used in the selling process. Sells leveraging the strength of brands, innovations and product features/benefits, and not solely based on price and service levels. Prepare powerful presentations, negotiate/quote pricing and terms in collaboration with strategic partners within the organization, management of the process of onboarding new customers and transition from lead generation to long term customer with an assigned account manager. With support from sales leadership is beginning to manage more complex selling situations, including determining the relevant stakeholders within a customer and customizing messaging /solutions for successful account acquisition and developing more complex product solutions, including stock, custom, and retail brand partnerships. Support MM manufactured (and strategically sourced) textile products' sales growth for Guest Supply distribution Prepare TMs for textile product presentations via phone consultation and skype meetings. Participate in regional and district meetings as the manufacturer sales rep supporting the territory sales team. Join TMs for customer sales presentations when there is significant volume for new textile business. Participate as needed at Trade Shows as the manufacturer sales rep. Uses a CRM system to promptly and accurately document sales activities, keep track of plans, pipeline development, and progress of prospective opportunities. Participates on project teams, communicates cross-functionally with internal departments, and performs other duties as assigned. Provide industry/regional competitive insights and strategic feedback to ensure MM open line portfolio meets the needs of the competitive market and keeps pace with industry trend. Analyze with strategic internal partners around the regional sales performance as it related to products, portfolio, price, availability, etc. Identify product GAPS and opportunities. Work with relevant team members to provide MM solutions to grow the business. Responsibilities for margin management and category management related to the MM goals. Education: Bachelor's Degree or equivalent experience. Business, Sales, Marketing Experience: Minimum of three to four years of successful sales experience. One to two years of sales experience with a focus on New Business Development/New Account Acquisition including both inside and outside sales. Hospitality Industry and/or Textile Experience preferred Skills: Professional, polished telephone presence and face-to-face demeanor. Exceptional verbal and written communication, negotiation and active listening skills. Ability to ask meaningful questions to help identify and solve customer needs. Professionally persistent with great follow up. Strong organizational skills. Ability to understand and retain information on a large portfolio of products and brands. Strong proficiency with basic computer hardware and software (MicroSoft Office: Word, Excel, PowerPoint and CRM). Strong Analytical skills around multiple data systems Self-motivated and enjoys working independently while ability to collaborate and communicate with cross functional teams in various locations.
04/04/2026
Full time
Who We Are At Manchester Mills, a division of Guest Worldwide, we believe in the power of life's little comforts - delivering uniquely exceptional guest experiences through uncompromising quality and a relentless passion for innovation. As one of the world's leading hospitality textile producers, we are committed to meeting the ever-changing needs of our customers, while making responsible choices to shrink our ecological footprint and protect the health of our customers and team members. For more information, visit . Position Purpose: This position is primarily focused on generating revenue from the acquisition of new accounts within the Independent Channel. Sales targets are determined by a set of criteria established and assigned by sales management. The utilization of strategic and diligent prospecting along with disciplined planning, excellent relationship building and closing skills is essential to consistently developing a successful pipeline of new account revenue. Collaboration with the Corporate Accounts Management Group team and the Guest Supply field sales team in the assigned region will also be key in maximizing results. This position will be located in the sales region supported by the role and will include travel within your assigned territory, to management groups in additional territories (as needed) and to trade shows (as needed). Territory includes prospective accounts in multiple states in a defined geographic region Primary Responsibilities: New business acquisition in Support of Manchester Mills Consistently generate revenue from new accounts within the Independent hotel market to meet or exceed the sales target determined for the territory. Achieve assigned sales goals and metrics. Development of an overall territory plan and strategy that identifies the customers and products needed to deliver sales targets and leverages relationships of Guest Supply TMs in the territory to increase pipeline. Build strong relationships across a variety of customer organizational levels and functions at target properties (GM, Rooms / Operations, Housekeeping, Procurement). Gathers relevant information about prospects to be used in the selling process. Sells leveraging the strength of brands, innovations and product features/benefits, and not solely based on price and service levels. Prepare powerful presentations, negotiate/quote pricing and terms in collaboration with strategic partners within the organization, management of the process of onboarding new customers and transition from lead generation to long term customer with an assigned account manager. With support from sales leadership is beginning to manage more complex selling situations, including determining the relevant stakeholders within a customer and customizing messaging /solutions for successful account acquisition and developing more complex product solutions, including stock, custom, and retail brand partnerships. Support MM manufactured (and strategically sourced) textile products' sales growth for Guest Supply distribution Prepare TMs for textile product presentations via phone consultation and skype meetings. Participate in regional and district meetings as the manufacturer sales rep supporting the territory sales team. Join TMs for customer sales presentations when there is significant volume for new textile business. Participate as needed at Trade Shows as the manufacturer sales rep. Uses a CRM system to promptly and accurately document sales activities, keep track of plans, pipeline development, and progress of prospective opportunities. Participates on project teams, communicates cross-functionally with internal departments, and performs other duties as assigned. Provide industry/regional competitive insights and strategic feedback to ensure MM open line portfolio meets the needs of the competitive market and keeps pace with industry trend. Analyze with strategic internal partners around the regional sales performance as it related to products, portfolio, price, availability, etc. Identify product GAPS and opportunities. Work with relevant team members to provide MM solutions to grow the business. Responsibilities for margin management and category management related to the MM goals. Education: Bachelor's Degree or equivalent experience. Business, Sales, Marketing Experience: Minimum of three to four years of successful sales experience. One to two years of sales experience with a focus on New Business Development/New Account Acquisition including both inside and outside sales. Hospitality Industry and/or Textile Experience preferred Skills: Professional, polished telephone presence and face-to-face demeanor. Exceptional verbal and written communication, negotiation and active listening skills. Ability to ask meaningful questions to help identify and solve customer needs. Professionally persistent with great follow up. Strong organizational skills. Ability to understand and retain information on a large portfolio of products and brands. Strong proficiency with basic computer hardware and software (MicroSoft Office: Word, Excel, PowerPoint and CRM). Strong Analytical skills around multiple data systems Self-motivated and enjoys working independently while ability to collaborate and communicate with cross functional teams in various locations.
Senior Lead, Machine Learning Engineer (GenAI, Python, AWS) As a Capital One Senior Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design , develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Operations, 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. 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 At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical 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 Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/04/2026
Full time
Senior Lead, Machine Learning Engineer (GenAI, Python, AWS) As a Capital One Senior Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design , develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Operations, 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. 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 At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical 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 Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI) Overview: 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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, or Java Preferred Qualifications: 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, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/04/2026
Full time
Sr. Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI) Overview: 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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, or Java Preferred Qualifications: 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, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Who We Are At Manchester Mills, a division of Guest Worldwide, we believe in the power of life's little comforts - delivering uniquely exceptional guest experiences through uncompromising quality and a relentless passion for innovation. As one of the world's leading hospitality textile producers, we are committed to meeting the ever-changing needs of our customers, while making responsible choices to shrink our ecological footprint and protect the health of our customers and team members. For more information, visit . Position Purpose: This position is primarily focused on generating revenue from the acquisition of new accounts within the Independent Channel. Sales targets are determined by a set of criteria established and assigned by sales management. The utilization of strategic and diligent prospecting along with disciplined planning, excellent relationship building and closing skills is essential to consistently developing a successful pipeline of new account revenue. Collaboration with the Corporate Accounts Management Group team and the Guest Supply field sales team in the assigned region will also be key in maximizing results. This position will be located in the sales region supported by the role and will include travel within your assigned territory, to management groups in additional territories (as needed) and to trade shows (as needed). Territory includes prospective accounts in multiple states in a defined geographic region Primary Responsibilities: New business acquisition in Support of Manchester Mills Consistently generate revenue from new accounts within the Independent hotel market to meet or exceed the sales target determined for the territory. Achieve assigned sales goals and metrics. Development of an overall territory plan and strategy that identifies the customers and products needed to deliver sales targets and leverages relationships of Guest Supply TMs in the territory to increase pipeline. Build strong relationships across a variety of customer organizational levels and functions at target properties (GM, Rooms / Operations, Housekeeping, Procurement). Gathers relevant information about prospects to be used in the selling process. Sells leveraging the strength of brands, innovations and product features/benefits, and not solely based on price and service levels. Prepare powerful presentations, negotiate/quote pricing and terms in collaboration with strategic partners within the organization, management of the process of onboarding new customers and transition from lead generation to long term customer with an assigned account manager. With support from sales leadership is beginning to manage more complex selling situations, including determining the relevant stakeholders within a customer and customizing messaging /solutions for successful account acquisition and developing more complex product solutions, including stock, custom, and retail brand partnerships. Support MM manufactured (and strategically sourced) textile products' sales growth for Guest Supply distribution Prepare TMs for textile product presentations via phone consultation and skype meetings. Participate in regional and district meetings as the manufacturer sales rep supporting the territory sales team. Join TMs for customer sales presentations when there is significant volume for new textile business. Participate as needed at Trade Shows as the manufacturer sales rep. Uses a CRM system to promptly and accurately document sales activities, keep track of plans, pipeline development, and progress of prospective opportunities. Participates on project teams, communicates cross-functionally with internal departments, and performs other duties as assigned. Provide industry/regional competitive insights and strategic feedback to ensure MM open line portfolio meets the needs of the competitive market and keeps pace with industry trend. Analyze with strategic internal partners around the regional sales performance as it related to products, portfolio, price, availability, etc. Identify product GAPS and opportunities. Work with relevant team members to provide MM solutions to grow the business. Responsibilities for margin management and category management related to the MM goals. Education: Bachelor's Degree or equivalent experience. Business, Sales, Marketing Experience: Minimum of three to four years of successful sales experience. One to two years of sales experience with a focus on New Business Development/New Account Acquisition including both inside and outside sales. Hospitality Industry and/or Textile Experience preferred Skills: Professional, polished telephone presence and face-to-face demeanor. Exceptional verbal and written communication, negotiation and active listening skills. Ability to ask meaningful questions to help identify and solve customer needs. Professionally persistent with great follow up. Strong organizational skills. Ability to understand and retain information on a large portfolio of products and brands. Strong proficiency with basic computer hardware and software (MicroSoft Office: Word, Excel, PowerPoint and CRM). Strong Analytical skills around multiple data systems Self-motivated and enjoys working independently while ability to collaborate and communicate with cross functional teams in various locations.
04/04/2026
Full time
Who We Are At Manchester Mills, a division of Guest Worldwide, we believe in the power of life's little comforts - delivering uniquely exceptional guest experiences through uncompromising quality and a relentless passion for innovation. As one of the world's leading hospitality textile producers, we are committed to meeting the ever-changing needs of our customers, while making responsible choices to shrink our ecological footprint and protect the health of our customers and team members. For more information, visit . Position Purpose: This position is primarily focused on generating revenue from the acquisition of new accounts within the Independent Channel. Sales targets are determined by a set of criteria established and assigned by sales management. The utilization of strategic and diligent prospecting along with disciplined planning, excellent relationship building and closing skills is essential to consistently developing a successful pipeline of new account revenue. Collaboration with the Corporate Accounts Management Group team and the Guest Supply field sales team in the assigned region will also be key in maximizing results. This position will be located in the sales region supported by the role and will include travel within your assigned territory, to management groups in additional territories (as needed) and to trade shows (as needed). Territory includes prospective accounts in multiple states in a defined geographic region Primary Responsibilities: New business acquisition in Support of Manchester Mills Consistently generate revenue from new accounts within the Independent hotel market to meet or exceed the sales target determined for the territory. Achieve assigned sales goals and metrics. Development of an overall territory plan and strategy that identifies the customers and products needed to deliver sales targets and leverages relationships of Guest Supply TMs in the territory to increase pipeline. Build strong relationships across a variety of customer organizational levels and functions at target properties (GM, Rooms / Operations, Housekeeping, Procurement). Gathers relevant information about prospects to be used in the selling process. Sells leveraging the strength of brands, innovations and product features/benefits, and not solely based on price and service levels. Prepare powerful presentations, negotiate/quote pricing and terms in collaboration with strategic partners within the organization, management of the process of onboarding new customers and transition from lead generation to long term customer with an assigned account manager. With support from sales leadership is beginning to manage more complex selling situations, including determining the relevant stakeholders within a customer and customizing messaging /solutions for successful account acquisition and developing more complex product solutions, including stock, custom, and retail brand partnerships. Support MM manufactured (and strategically sourced) textile products' sales growth for Guest Supply distribution Prepare TMs for textile product presentations via phone consultation and skype meetings. Participate in regional and district meetings as the manufacturer sales rep supporting the territory sales team. Join TMs for customer sales presentations when there is significant volume for new textile business. Participate as needed at Trade Shows as the manufacturer sales rep. Uses a CRM system to promptly and accurately document sales activities, keep track of plans, pipeline development, and progress of prospective opportunities. Participates on project teams, communicates cross-functionally with internal departments, and performs other duties as assigned. Provide industry/regional competitive insights and strategic feedback to ensure MM open line portfolio meets the needs of the competitive market and keeps pace with industry trend. Analyze with strategic internal partners around the regional sales performance as it related to products, portfolio, price, availability, etc. Identify product GAPS and opportunities. Work with relevant team members to provide MM solutions to grow the business. Responsibilities for margin management and category management related to the MM goals. Education: Bachelor's Degree or equivalent experience. Business, Sales, Marketing Experience: Minimum of three to four years of successful sales experience. One to two years of sales experience with a focus on New Business Development/New Account Acquisition including both inside and outside sales. Hospitality Industry and/or Textile Experience preferred Skills: Professional, polished telephone presence and face-to-face demeanor. Exceptional verbal and written communication, negotiation and active listening skills. Ability to ask meaningful questions to help identify and solve customer needs. Professionally persistent with great follow up. Strong organizational skills. Ability to understand and retain information on a large portfolio of products and brands. Strong proficiency with basic computer hardware and software (MicroSoft Office: Word, Excel, PowerPoint and CRM). Strong Analytical skills around multiple data systems Self-motivated and enjoys working independently while ability to collaborate and communicate with cross functional teams in various locations.
Who We Are At Manchester Mills, a division of Guest Worldwide, we believe in the power of life's little comforts - delivering uniquely exceptional guest experiences through uncompromising quality and a relentless passion for innovation. As one of the world's leading hospitality textile producers, we are committed to meeting the ever-changing needs of our customers, while making responsible choices to shrink our ecological footprint and protect the health of our customers and team members. For more information, visit . Position Purpose: This position is primarily focused on generating revenue from the acquisition of new accounts within the Independent Channel. Sales targets are determined by a set of criteria established and assigned by sales management. The utilization of strategic and diligent prospecting along with disciplined planning, excellent relationship building and closing skills is essential to consistently developing a successful pipeline of new account revenue. Collaboration with the Corporate Accounts Management Group team and the Guest Supply field sales team in the assigned region will also be key in maximizing results. This position will be located in the sales region supported by the role and will include travel within your assigned territory, to management groups in additional territories (as needed) and to trade shows (as needed). Territory includes prospective accounts in multiple states in a defined geographic region Primary Responsibilities: New business acquisition in Support of Manchester Mills Consistently generate revenue from new accounts within the Independent hotel market to meet or exceed the sales target determined for the territory. Achieve assigned sales goals and metrics. Development of an overall territory plan and strategy that identifies the customers and products needed to deliver sales targets and leverages relationships of Guest Supply TMs in the territory to increase pipeline. Build strong relationships across a variety of customer organizational levels and functions at target properties (GM, Rooms / Operations, Housekeeping, Procurement). Gathers relevant information about prospects to be used in the selling process. Sells leveraging the strength of brands, innovations and product features/benefits, and not solely based on price and service levels. Prepare powerful presentations, negotiate/quote pricing and terms in collaboration with strategic partners within the organization, management of the process of onboarding new customers and transition from lead generation to long term customer with an assigned account manager. With support from sales leadership is beginning to manage more complex selling situations, including determining the relevant stakeholders within a customer and customizing messaging /solutions for successful account acquisition and developing more complex product solutions, including stock, custom, and retail brand partnerships. Support MM manufactured (and strategically sourced) textile products' sales growth for Guest Supply distribution Prepare TMs for textile product presentations via phone consultation and skype meetings. Participate in regional and district meetings as the manufacturer sales rep supporting the territory sales team. Join TMs for customer sales presentations when there is significant volume for new textile business. Participate as needed at Trade Shows as the manufacturer sales rep. Uses a CRM system to promptly and accurately document sales activities, keep track of plans, pipeline development, and progress of prospective opportunities. Participates on project teams, communicates cross-functionally with internal departments, and performs other duties as assigned. Provide industry/regional competitive insights and strategic feedback to ensure MM open line portfolio meets the needs of the competitive market and keeps pace with industry trend. Analyze with strategic internal partners around the regional sales performance as it related to products, portfolio, price, availability, etc. Identify product GAPS and opportunities. Work with relevant team members to provide MM solutions to grow the business. Responsibilities for margin management and category management related to the MM goals. Education: Bachelor's Degree or equivalent experience. Business, Sales, Marketing Experience: Minimum of three to four years of successful sales experience. One to two years of sales experience with a focus on New Business Development/New Account Acquisition including both inside and outside sales. Hospitality Industry and/or Textile Experience preferred Skills: Professional, polished telephone presence and face-to-face demeanor. Exceptional verbal and written communication, negotiation and active listening skills. Ability to ask meaningful questions to help identify and solve customer needs. Professionally persistent with great follow up. Strong organizational skills. Ability to understand and retain information on a large portfolio of products and brands. Strong proficiency with basic computer hardware and software (MicroSoft Office: Word, Excel, PowerPoint and CRM). Strong Analytical skills around multiple data systems Self-motivated and enjoys working independently while ability to collaborate and communicate with cross functional teams in various locations.
04/04/2026
Full time
Who We Are At Manchester Mills, a division of Guest Worldwide, we believe in the power of life's little comforts - delivering uniquely exceptional guest experiences through uncompromising quality and a relentless passion for innovation. As one of the world's leading hospitality textile producers, we are committed to meeting the ever-changing needs of our customers, while making responsible choices to shrink our ecological footprint and protect the health of our customers and team members. For more information, visit . Position Purpose: This position is primarily focused on generating revenue from the acquisition of new accounts within the Independent Channel. Sales targets are determined by a set of criteria established and assigned by sales management. The utilization of strategic and diligent prospecting along with disciplined planning, excellent relationship building and closing skills is essential to consistently developing a successful pipeline of new account revenue. Collaboration with the Corporate Accounts Management Group team and the Guest Supply field sales team in the assigned region will also be key in maximizing results. This position will be located in the sales region supported by the role and will include travel within your assigned territory, to management groups in additional territories (as needed) and to trade shows (as needed). Territory includes prospective accounts in multiple states in a defined geographic region Primary Responsibilities: New business acquisition in Support of Manchester Mills Consistently generate revenue from new accounts within the Independent hotel market to meet or exceed the sales target determined for the territory. Achieve assigned sales goals and metrics. Development of an overall territory plan and strategy that identifies the customers and products needed to deliver sales targets and leverages relationships of Guest Supply TMs in the territory to increase pipeline. Build strong relationships across a variety of customer organizational levels and functions at target properties (GM, Rooms / Operations, Housekeeping, Procurement). Gathers relevant information about prospects to be used in the selling process. Sells leveraging the strength of brands, innovations and product features/benefits, and not solely based on price and service levels. Prepare powerful presentations, negotiate/quote pricing and terms in collaboration with strategic partners within the organization, management of the process of onboarding new customers and transition from lead generation to long term customer with an assigned account manager. With support from sales leadership is beginning to manage more complex selling situations, including determining the relevant stakeholders within a customer and customizing messaging /solutions for successful account acquisition and developing more complex product solutions, including stock, custom, and retail brand partnerships. Support MM manufactured (and strategically sourced) textile products' sales growth for Guest Supply distribution Prepare TMs for textile product presentations via phone consultation and skype meetings. Participate in regional and district meetings as the manufacturer sales rep supporting the territory sales team. Join TMs for customer sales presentations when there is significant volume for new textile business. Participate as needed at Trade Shows as the manufacturer sales rep. Uses a CRM system to promptly and accurately document sales activities, keep track of plans, pipeline development, and progress of prospective opportunities. Participates on project teams, communicates cross-functionally with internal departments, and performs other duties as assigned. Provide industry/regional competitive insights and strategic feedback to ensure MM open line portfolio meets the needs of the competitive market and keeps pace with industry trend. Analyze with strategic internal partners around the regional sales performance as it related to products, portfolio, price, availability, etc. Identify product GAPS and opportunities. Work with relevant team members to provide MM solutions to grow the business. Responsibilities for margin management and category management related to the MM goals. Education: Bachelor's Degree or equivalent experience. Business, Sales, Marketing Experience: Minimum of three to four years of successful sales experience. One to two years of sales experience with a focus on New Business Development/New Account Acquisition including both inside and outside sales. Hospitality Industry and/or Textile Experience preferred Skills: Professional, polished telephone presence and face-to-face demeanor. Exceptional verbal and written communication, negotiation and active listening skills. Ability to ask meaningful questions to help identify and solve customer needs. Professionally persistent with great follow up. Strong organizational skills. Ability to understand and retain information on a large portfolio of products and brands. Strong proficiency with basic computer hardware and software (MicroSoft Office: Word, Excel, PowerPoint and CRM). Strong Analytical skills around multiple data systems Self-motivated and enjoys working independently while ability to collaborate and communicate with cross functional teams in various locations.
Hours of Work : 8-5 Days Of Week : M-F Work Shift : Job Description : Your Job: In this highly technical, fast-paced, and challenging position, you'll collaborate with multidisciplinary team members to provide the very best care for our patients. The Epic Analyst supports many users and departments within the healthcare system. Your Job Requirements: • Bachelor's degree in Information Systems or related field is preferred. • 1-4 years of healthcare IT experience is required. • Epic certification and one or more years working with Ambulatory is strongly preferred. • Functional knowledge of EHR software • Proficiency in MS Office applications • Demonstrated customer service skills • Previous experience in healthcare is preferred • Familiarity with medical codes and terminology is very helpful. • Ability to effectively work cross-functionally with other application teams • Ability to communicate clearly Your Job Responsibilities: The Cadence & Hello World Epic Analyst is a highly technical, fast-paced, and challenging position. You'll collaborate with multidisciplinary team members to provide the very best care for our patients. The Cadence & Hello World Epic Analyst supports the functionality of Cadence modules for Methodist outpatient community offices. This position requires knowledge of Epic Cadence/Hello World application build and maintenance of the system. Bachelor's degree in computer science, Information Systems, or related specialty, and/or equivalent experience. Epic Cadence and Referrals Certification is required and one or more years working with Cadence application is strongly preferred Hello World badge is required Ability to communicate effectively, orally, and in writing with various levels of staff Ability to effectively work cross-functionally with other application teams Ability to work as a team player Ability to work independently Proficiency in MS Office applications Effective organizational and time management skills. Work closely with public; ability to retain composure, interact with tact Work Experience: 1+ years as an Epic analyst Works with confidential patient information Plan, design, test, implement, support, and maintain functionality related to Cadence and Referrals applications Demonstrates ability to manage many jobs at one time, balancing resources, priorities, deadlines and time. The work is highly technical, and the incumbent is often required to work independently. Demonstrates ability to personally complete all aspects of a project. Understands and is able to articulate user needs, problems, and determines feasibility of solutions. Uses clinical knowledge to assist in supporting clinical applications. May be called upon as a technical resource for other project teams. Communicates with project leaders, other analysts, clinical leadership and users to develop system requirements. Develops design specifications, implementation of new functionality and/or features in the software including, but not limited to reports, database dictionaries, or scripts. Mentors team members as necessary and informs leadership team of all events pertaining to the operations of assigned applications and projects. Maintains current, detailed system documentation for assigned application Strives to achieve accurate, reliable, and timely service Stay abreast of functionality improvements in new versions and testing during upgrades and take advantage of available resources to improve knowledge and understanding of the system Test new releases and apply specialized knowledge and experience to the process to ensure that version upgrades function smoothly Provision security roles for supported end users Manage help desk tickets, phone calls, emails, etc. Take initiative for your professional growth Be engaged and eager to build a winning team Other duties as assigned General Job Summary: Working collaboratively with users of the Clinical Information System, will be responsible for coordinating aspects of support, maintenance, and evaluation of the Clinical Information Systems. Serves as a resource person for the daily operational issues of the hospital's clinical systems. Interacts with users sharing knowledge and skills. Essential Duties and Responsibilities: 1. Act as a Clinical liaison between IS Department and Patient Care Areas. With assistance from the IS Education Coordinator, develop education literature and training programs for the clinical applications. Provide education to clinical staff regarding Information System's clinical applications. (40%) 2. Act as the IS project leader for new implementations and updates to IS' clinical applications. Collaborate with the clinical staff involved in implementations, training and support in coordinating evaluation of development efforts, in planning pilot and full implementations of new CIS features, and in processing user feedback and requests. (25%) 3. Maintain a detailed understanding and working knowledge of the current CIS, its functions and its relationship to other information systems within the enterprise; as well as maintain membership on, or consultation to, committees, work groups, or task forces as needed to communicate and facilitate the ongoing progress of the development, implementation, and revision of the CIS. (20%) 4. Assist clinical staff in identifying cause and solution to computer issues while providing cross-training for other members of the IS staff with regard to clinical information systems. (5%) 7. Perform other duties as required or assigned. (3%) Job Relationships: Reports to: Director of Epic Applications, Application Team Lead, and VP of Epic Information Systems Supervises: None Minimum Knowledge, Skills and Abilities: 1. Prior experience in healthcare environment 2. Demonstrated ability to function well under pressure • Plan, design, test, implement, support, and maintain functionality related to Ambulatory • Create, test, and document new build, workflows, changes, etc. • Assist other application teams in the assignments of security roles and troubleshooting of security issues • Manage help desk tickets, phone calls, emails, etc. • Always look for ways to improve the patient experience • Take initiative for your professional growth Methodist Health System is a faith-based organization with a mission to improve and save lives through compassionate, quality healthcare. For nearly a century, Dallas-based Methodist Health System has been a trusted choice for health and wellness. Named one of the fastest-growing health systems in America by Modern Healthcare , Methodist has a network of 12 hospitals (through ownership and affiliation) with nationally recognized medical services, such as a Level I Trauma Center, multi-organ transplantation, Level III Neonatal Intensive Care, neurosurgery, robotic surgical programs, oncology, gastroenterology, and orthopedics, among others. Methodist has more than two dozen clinics located throughout the region, renowned teaching programs, innovative research, and a strong commitment to the community. Our reputation as an award-winning employer shows in the distinctions we've earned: TIME magazine Best Companies for Future Leaders, 2025 Great Place to Work Certified , 2025 Glassdoor Best Places to Work, 2025 PressGaney HX Pinnacle of Excellence Award, 2024 PressGaney HX Guardian of Excellence Award, 2024 PressGaney HX Health System of the Year, 2024
04/04/2026
Full time
Hours of Work : 8-5 Days Of Week : M-F Work Shift : Job Description : Your Job: In this highly technical, fast-paced, and challenging position, you'll collaborate with multidisciplinary team members to provide the very best care for our patients. The Epic Analyst supports many users and departments within the healthcare system. Your Job Requirements: • Bachelor's degree in Information Systems or related field is preferred. • 1-4 years of healthcare IT experience is required. • Epic certification and one or more years working with Ambulatory is strongly preferred. • Functional knowledge of EHR software • Proficiency in MS Office applications • Demonstrated customer service skills • Previous experience in healthcare is preferred • Familiarity with medical codes and terminology is very helpful. • Ability to effectively work cross-functionally with other application teams • Ability to communicate clearly Your Job Responsibilities: The Cadence & Hello World Epic Analyst is a highly technical, fast-paced, and challenging position. You'll collaborate with multidisciplinary team members to provide the very best care for our patients. The Cadence & Hello World Epic Analyst supports the functionality of Cadence modules for Methodist outpatient community offices. This position requires knowledge of Epic Cadence/Hello World application build and maintenance of the system. Bachelor's degree in computer science, Information Systems, or related specialty, and/or equivalent experience. Epic Cadence and Referrals Certification is required and one or more years working with Cadence application is strongly preferred Hello World badge is required Ability to communicate effectively, orally, and in writing with various levels of staff Ability to effectively work cross-functionally with other application teams Ability to work as a team player Ability to work independently Proficiency in MS Office applications Effective organizational and time management skills. Work closely with public; ability to retain composure, interact with tact Work Experience: 1+ years as an Epic analyst Works with confidential patient information Plan, design, test, implement, support, and maintain functionality related to Cadence and Referrals applications Demonstrates ability to manage many jobs at one time, balancing resources, priorities, deadlines and time. The work is highly technical, and the incumbent is often required to work independently. Demonstrates ability to personally complete all aspects of a project. Understands and is able to articulate user needs, problems, and determines feasibility of solutions. Uses clinical knowledge to assist in supporting clinical applications. May be called upon as a technical resource for other project teams. Communicates with project leaders, other analysts, clinical leadership and users to develop system requirements. Develops design specifications, implementation of new functionality and/or features in the software including, but not limited to reports, database dictionaries, or scripts. Mentors team members as necessary and informs leadership team of all events pertaining to the operations of assigned applications and projects. Maintains current, detailed system documentation for assigned application Strives to achieve accurate, reliable, and timely service Stay abreast of functionality improvements in new versions and testing during upgrades and take advantage of available resources to improve knowledge and understanding of the system Test new releases and apply specialized knowledge and experience to the process to ensure that version upgrades function smoothly Provision security roles for supported end users Manage help desk tickets, phone calls, emails, etc. Take initiative for your professional growth Be engaged and eager to build a winning team Other duties as assigned General Job Summary: Working collaboratively with users of the Clinical Information System, will be responsible for coordinating aspects of support, maintenance, and evaluation of the Clinical Information Systems. Serves as a resource person for the daily operational issues of the hospital's clinical systems. Interacts with users sharing knowledge and skills. Essential Duties and Responsibilities: 1. Act as a Clinical liaison between IS Department and Patient Care Areas. With assistance from the IS Education Coordinator, develop education literature and training programs for the clinical applications. Provide education to clinical staff regarding Information System's clinical applications. (40%) 2. Act as the IS project leader for new implementations and updates to IS' clinical applications. Collaborate with the clinical staff involved in implementations, training and support in coordinating evaluation of development efforts, in planning pilot and full implementations of new CIS features, and in processing user feedback and requests. (25%) 3. Maintain a detailed understanding and working knowledge of the current CIS, its functions and its relationship to other information systems within the enterprise; as well as maintain membership on, or consultation to, committees, work groups, or task forces as needed to communicate and facilitate the ongoing progress of the development, implementation, and revision of the CIS. (20%) 4. Assist clinical staff in identifying cause and solution to computer issues while providing cross-training for other members of the IS staff with regard to clinical information systems. (5%) 7. Perform other duties as required or assigned. (3%) Job Relationships: Reports to: Director of Epic Applications, Application Team Lead, and VP of Epic Information Systems Supervises: None Minimum Knowledge, Skills and Abilities: 1. Prior experience in healthcare environment 2. Demonstrated ability to function well under pressure • Plan, design, test, implement, support, and maintain functionality related to Ambulatory • Create, test, and document new build, workflows, changes, etc. • Assist other application teams in the assignments of security roles and troubleshooting of security issues • Manage help desk tickets, phone calls, emails, etc. • Always look for ways to improve the patient experience • Take initiative for your professional growth Methodist Health System is a faith-based organization with a mission to improve and save lives through compassionate, quality healthcare. For nearly a century, Dallas-based Methodist Health System has been a trusted choice for health and wellness. Named one of the fastest-growing health systems in America by Modern Healthcare , Methodist has a network of 12 hospitals (through ownership and affiliation) with nationally recognized medical services, such as a Level I Trauma Center, multi-organ transplantation, Level III Neonatal Intensive Care, neurosurgery, robotic surgical programs, oncology, gastroenterology, and orthopedics, among others. Methodist has more than two dozen clinics located throughout the region, renowned teaching programs, innovative research, and a strong commitment to the community. Our reputation as an award-winning employer shows in the distinctions we've earned: TIME magazine Best Companies for Future Leaders, 2025 Great Place to Work Certified , 2025 Glassdoor Best Places to Work, 2025 PressGaney HX Pinnacle of Excellence Award, 2024 PressGaney HX Guardian of Excellence Award, 2024 PressGaney HX Health System of the Year, 2024
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: 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. 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 At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. Chicago, IL: $147,100 - $167,900 for Senior Machine Learning Engineer McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/04/2026
Full time
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: 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. 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 At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. Chicago, IL: $147,100 - $167,900 for Senior Machine Learning Engineer McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: 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. 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 At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. Chicago, IL: $147,100 - $167,900 for Senior Machine Learning Engineer McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/04/2026
Full time
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: 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. 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 At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. Chicago, IL: $147,100 - $167,900 for Senior Machine Learning Engineer McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Hours of Work : 8-5 Days Of Week : M-F Work Shift : 8X5 Day (United States of America) Job Description : Your Job: In this highly technical, fast-paced, and challenging position, you'll collaborate with multidisciplinary team members to provide the very best care for our patients. The Epic Analyst supports many users and departments within the healthcare system. Your Job Requirements: • Bachelor's degree in Information Systems or related field is preferred. • 1-4 years of healthcare IT experience is required. • Epic certification and one or more years working with Ambulatory is strongly preferred. • Functional knowledge of EHR software • Proficiency in MS Office applications • Demonstrated customer service skills • Previous experience The 3M Encompass & Engage One/Epic Analyst is a highly technical, fast-paced, and challenging position. You'll collaborate with multidisciplinary team members to provide the very best care for our patients. The 3M Encompass & Engage One/Epic Analyst supports the functionality of 3M Solventum modules for Methodist Hospital Coders, CDI Specialists and Clinicians, and its communication with Epic. This position requires knowledge of 3M Solventum product lines including CRS, 3M 360 Encompass and 3M Engage One, along with Epic CDI and Epic Hospital Coding functions, in order to troubleshoot, build and maintain 3M/Epic workflows and functionality. Bachelor's degree in computer science, Information Systems, or related specialty, and/or equivalent experience. Epic Hospital Coding Certification is required and one or more years working with Epic is preferred. A general understanding of Epic clinician workflows is strongly preferred. At least one year experience working with both 3M 360 Encompass and 3M Engage One functions are required; a 3M Engage One Implementation preferred. Experience with 3M/Solventum product updates, interfacing and all five related servers required. Ability to communicate effectively, orally, and in writing with various levels of staff Ability to effectively work cross-functionally with other application teams Ability to work as a team player Ability to work independently Proficiency in MS Office applications Effective organizational and time management skills. Work closely with public; ability to retain composure, interact with tact Works with confidential patient information Plan, design, test, implement, support, and maintain functionality related to 3M Solventum and Epic Hospital Coding Performs monthly 3M updates and coordinates downtimes with HIM and CDI leaders. Demonstrates ability to manage many jobs at one time, balancing resources, priorities, deadlines and time. The work is highly technical, and the incumbent is often required to work independently. Demonstrates ability to per sonally complete all aspects of a project. Understands and is able to articulate user needs, problems, and determines feasibility of solutions. Uses clinical knowledge to assist in supporting clinical applications. May be called upon as a technical resource for other project teams. Communicates with project leaders, other analysts, clinical leadership and users to develop system requirements. Develops design specifications, implementation of new functionality and/or features in the software including, but not limited to reports, database dictionaries, or scripts. Mentors team members as necessary and informs leadership team of all events pertaining to the operations of assigned applications and projects. Maintains current, detailed system documentation for assigned application Strives to achieve accurate, reliable, and timely service Stay abreast of functionality improvements in new versions and testing during upgrades and take advantage of available resources to improve knowledge and understanding of the system Test new releases and apply specialized knowledge and experience to the process to ensure that version upgrades function smoothly Provision security roles for supported end users Manage help desk tickets, phone calls, emails, etc. Take initiative for your professional growth Be engaged and eager to build a winning team Other duties as assigned General Job Summary: Working collaboratively with users of 3M Solventum and Epic, will be responsible for coordinating aspects of support, maintenance, and evaluation of 3M/Solventum. Serves as a resource person for the daily operational issues of the hospital's clinical systems. Interacts with users sharing knowledge and skills. Essential Duties and Responsibilities: 1. Act as a Clinical liaison between IS Department and Patient Care Areas. With assistance from HIM and CDI leaders, develops education literature and training programs for the clinical applications. Provide education to staff regarding 3M/Solventum (40%) 2. Act as the IS project leader for new implementations and updates to IS' clinical applications. Collaborate with the staff involved in implementations, training and support in coordinating evaluation of development efforts, in planning pilot and full implementations of new features, and in processing user feedback and requests. (25%) 3. Maintain a detailed understanding and working knowledge of the current system, its functions and its relationship to other information systems within the enterprise; as well as maintain membership on, or consultation to, committees, work groups, or task forces as needed to communicate and facilitate the ongoing progress of the development, implementation, and revision of the system. (20%) 4. Assist clinical staff in identifying cause and solution to computer issues while providing cross-training for other members of the IS staff with regard to 3M/Solventum. (5%) 5. Perform other duties as required or assigned. (3%) Job Relationships: Reports to: Director of Epic Applications, Application Team Lead, and VP of Epic Information Systems Supervises: None Minimum Knowledge, Skills and Abilities: 1. prior experience in healthcare environment 2. Demonstrated ability to function well under pressure e in healthcare is preferred • Familiarity with medical codes and terminology is very helpful. • Ability to effectively work cross-functionally with other application teams • Ability to communicate clearly Your Job Responsibilities: • Plan, design, test, implement, support, and maintain functionality related to Ambulatory • Create, test, and document new build, workflows, changes, etc. • Assist other application teams in the assignments of security roles and troubleshooting of security issues • Manage help desk tickets, phone calls, emails, etc. • Always look for ways to improve the patient experience • Take initiative for your professional growth Methodist Health System is a faith-based organization with a mission to improve and save lives through compassionate, quality healthcare. For nearly a century, Dallas-based Methodist Health System has been a trusted choice for health and wellness. Named one of the fastest-growing health systems in America by Modern Healthcare , Methodist has a network of 12 hospitals (through ownership and affiliation) with nationally recognized medical services, such as a Level I Trauma Center, multi-organ transplantation, Level III Neonatal Intensive Care, neurosurgery, robotic surgical programs, oncology, gastroenterology, and orthopedics, among others. Methodist has more than two dozen clinics located throughout the region, renowned teaching programs, innovative research, and a strong commitment to the community. Our reputation as an award-winning employer shows in the distinctions we've earned: TIME magazine Best Companies for Future Leaders, 2025 Great Place to Work Certified , 2025 Glassdoor Best Places to Work, 2025 PressGaney HX Pinnacle of Excellence Award, 2024 PressGaney HX Guardian of Excellence Award, 2024 PressGaney HX Health System of the Year, 2024
04/04/2026
Full time
Hours of Work : 8-5 Days Of Week : M-F Work Shift : 8X5 Day (United States of America) Job Description : Your Job: In this highly technical, fast-paced, and challenging position, you'll collaborate with multidisciplinary team members to provide the very best care for our patients. The Epic Analyst supports many users and departments within the healthcare system. Your Job Requirements: • Bachelor's degree in Information Systems or related field is preferred. • 1-4 years of healthcare IT experience is required. • Epic certification and one or more years working with Ambulatory is strongly preferred. • Functional knowledge of EHR software • Proficiency in MS Office applications • Demonstrated customer service skills • Previous experience The 3M Encompass & Engage One/Epic Analyst is a highly technical, fast-paced, and challenging position. You'll collaborate with multidisciplinary team members to provide the very best care for our patients. The 3M Encompass & Engage One/Epic Analyst supports the functionality of 3M Solventum modules for Methodist Hospital Coders, CDI Specialists and Clinicians, and its communication with Epic. This position requires knowledge of 3M Solventum product lines including CRS, 3M 360 Encompass and 3M Engage One, along with Epic CDI and Epic Hospital Coding functions, in order to troubleshoot, build and maintain 3M/Epic workflows and functionality. Bachelor's degree in computer science, Information Systems, or related specialty, and/or equivalent experience. Epic Hospital Coding Certification is required and one or more years working with Epic is preferred. A general understanding of Epic clinician workflows is strongly preferred. At least one year experience working with both 3M 360 Encompass and 3M Engage One functions are required; a 3M Engage One Implementation preferred. Experience with 3M/Solventum product updates, interfacing and all five related servers required. Ability to communicate effectively, orally, and in writing with various levels of staff Ability to effectively work cross-functionally with other application teams Ability to work as a team player Ability to work independently Proficiency in MS Office applications Effective organizational and time management skills. Work closely with public; ability to retain composure, interact with tact Works with confidential patient information Plan, design, test, implement, support, and maintain functionality related to 3M Solventum and Epic Hospital Coding Performs monthly 3M updates and coordinates downtimes with HIM and CDI leaders. Demonstrates ability to manage many jobs at one time, balancing resources, priorities, deadlines and time. The work is highly technical, and the incumbent is often required to work independently. Demonstrates ability to per sonally complete all aspects of a project. Understands and is able to articulate user needs, problems, and determines feasibility of solutions. Uses clinical knowledge to assist in supporting clinical applications. May be called upon as a technical resource for other project teams. Communicates with project leaders, other analysts, clinical leadership and users to develop system requirements. Develops design specifications, implementation of new functionality and/or features in the software including, but not limited to reports, database dictionaries, or scripts. Mentors team members as necessary and informs leadership team of all events pertaining to the operations of assigned applications and projects. Maintains current, detailed system documentation for assigned application Strives to achieve accurate, reliable, and timely service Stay abreast of functionality improvements in new versions and testing during upgrades and take advantage of available resources to improve knowledge and understanding of the system Test new releases and apply specialized knowledge and experience to the process to ensure that version upgrades function smoothly Provision security roles for supported end users Manage help desk tickets, phone calls, emails, etc. Take initiative for your professional growth Be engaged and eager to build a winning team Other duties as assigned General Job Summary: Working collaboratively with users of 3M Solventum and Epic, will be responsible for coordinating aspects of support, maintenance, and evaluation of 3M/Solventum. Serves as a resource person for the daily operational issues of the hospital's clinical systems. Interacts with users sharing knowledge and skills. Essential Duties and Responsibilities: 1. Act as a Clinical liaison between IS Department and Patient Care Areas. With assistance from HIM and CDI leaders, develops education literature and training programs for the clinical applications. Provide education to staff regarding 3M/Solventum (40%) 2. Act as the IS project leader for new implementations and updates to IS' clinical applications. Collaborate with the staff involved in implementations, training and support in coordinating evaluation of development efforts, in planning pilot and full implementations of new features, and in processing user feedback and requests. (25%) 3. Maintain a detailed understanding and working knowledge of the current system, its functions and its relationship to other information systems within the enterprise; as well as maintain membership on, or consultation to, committees, work groups, or task forces as needed to communicate and facilitate the ongoing progress of the development, implementation, and revision of the system. (20%) 4. Assist clinical staff in identifying cause and solution to computer issues while providing cross-training for other members of the IS staff with regard to 3M/Solventum. (5%) 5. Perform other duties as required or assigned. (3%) Job Relationships: Reports to: Director of Epic Applications, Application Team Lead, and VP of Epic Information Systems Supervises: None Minimum Knowledge, Skills and Abilities: 1. prior experience in healthcare environment 2. Demonstrated ability to function well under pressure e in healthcare is preferred • Familiarity with medical codes and terminology is very helpful. • Ability to effectively work cross-functionally with other application teams • Ability to communicate clearly Your Job Responsibilities: • Plan, design, test, implement, support, and maintain functionality related to Ambulatory • Create, test, and document new build, workflows, changes, etc. • Assist other application teams in the assignments of security roles and troubleshooting of security issues • Manage help desk tickets, phone calls, emails, etc. • Always look for ways to improve the patient experience • Take initiative for your professional growth Methodist Health System is a faith-based organization with a mission to improve and save lives through compassionate, quality healthcare. For nearly a century, Dallas-based Methodist Health System has been a trusted choice for health and wellness. Named one of the fastest-growing health systems in America by Modern Healthcare , Methodist has a network of 12 hospitals (through ownership and affiliation) with nationally recognized medical services, such as a Level I Trauma Center, multi-organ transplantation, Level III Neonatal Intensive Care, neurosurgery, robotic surgical programs, oncology, gastroenterology, and orthopedics, among others. Methodist has more than two dozen clinics located throughout the region, renowned teaching programs, innovative research, and a strong commitment to the community. Our reputation as an award-winning employer shows in the distinctions we've earned: TIME magazine Best Companies for Future Leaders, 2025 Great Place to Work Certified , 2025 Glassdoor Best Places to Work, 2025 PressGaney HX Pinnacle of Excellence Award, 2024 PressGaney HX Guardian of Excellence Award, 2024 PressGaney HX Health System of the Year, 2024
Sr. Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI) Overview: 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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, or Java Preferred Qualifications: 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, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/04/2026
Full time
Sr. Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI) Overview: 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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, or Java Preferred Qualifications: 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, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Mid Level SOC Analyst Huntsville, AL Direct Placement Up to $110k yearly Relocation assistance available Primary Purpose Our company is seeking a SOC Operations Analyst/Watch-Floor Operations to join our high performing cyber team in support of a large SOC enterprise environment. Shift Wednesday - Saturday: 12pm - 10pm Sunday - Wednesday: 6am - 4pm Major Duties & Responsibilities Responsible for monitoring computer networks for security issues. Investigating security breaches and other cybersecurity incidents. Document security breaches and assess the damage they cause. Work with the security team to perform tests and uncover network vulnerabilities, such as penetration testing. Fix detected vulnerabilities to maintain a high-security standard. Recommend best practices for IT security. Installing security measures and operating software to protect systems and information infrastructure, including firewalls and data encryption programs. Must be capable of conducting analysis, confirming intrusion information and creating a forensically sound duplicate of the files. Decrypts data and provides technical summaries and input. Examines recovered data for relevant information and performs dynamic analysis to include timeline, statistical, and file signature analysis. Performs real-time cyber defense handling tasks to support deployable Incident Response Teams (IRTs). Qualifications: Required Skills: Clearance: Top Secret with the ability to sit for the CI Poly Requires BS or BA degree 8 years overall experience to include experience with Splunk Enterprise Security (R) Preferred Skills: Having the following tools experience and/or certifications: Microsoft Sentinel (P) GIAC Continuous Monitoring Certification (GMON) GIAC Certified Incident Handler (GCIH) GIAC Certified Forensic Analyst (GCFA) GIAC Certified Intrusion Analyst (GCIA) GIAC Network Forensic Analyst (GNFA) We are an EOE If interested, please contact Jeena Swope ext. 212 /
04/04/2026
Full time
Mid Level SOC Analyst Huntsville, AL Direct Placement Up to $110k yearly Relocation assistance available Primary Purpose Our company is seeking a SOC Operations Analyst/Watch-Floor Operations to join our high performing cyber team in support of a large SOC enterprise environment. Shift Wednesday - Saturday: 12pm - 10pm Sunday - Wednesday: 6am - 4pm Major Duties & Responsibilities Responsible for monitoring computer networks for security issues. Investigating security breaches and other cybersecurity incidents. Document security breaches and assess the damage they cause. Work with the security team to perform tests and uncover network vulnerabilities, such as penetration testing. Fix detected vulnerabilities to maintain a high-security standard. Recommend best practices for IT security. Installing security measures and operating software to protect systems and information infrastructure, including firewalls and data encryption programs. Must be capable of conducting analysis, confirming intrusion information and creating a forensically sound duplicate of the files. Decrypts data and provides technical summaries and input. Examines recovered data for relevant information and performs dynamic analysis to include timeline, statistical, and file signature analysis. Performs real-time cyber defense handling tasks to support deployable Incident Response Teams (IRTs). Qualifications: Required Skills: Clearance: Top Secret with the ability to sit for the CI Poly Requires BS or BA degree 8 years overall experience to include experience with Splunk Enterprise Security (R) Preferred Skills: Having the following tools experience and/or certifications: Microsoft Sentinel (P) GIAC Continuous Monitoring Certification (GMON) GIAC Certified Incident Handler (GCIH) GIAC Certified Forensic Analyst (GCFA) GIAC Certified Intrusion Analyst (GCIA) GIAC Network Forensic Analyst (GNFA) We are an EOE If interested, please contact Jeena Swope ext. 212 /
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking Software Engineers - Developers (Associate, Experienced, and Senior) to join the Air Dominance team located in Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. The candidate will assist software systems development on cloud infrastructures following modern DevSecOps and Agile execution processes Support all phases of the software development lifecycle including requirements and interface definition, design, development, and integration of Cloud Native Software for Collaborative Mission Planning including: Aviate, Navigate and Communicate (ANC) Weapons, Sensor and Payload Planning Network and Communication Configuration Mission Debrief The selected candidate will be responsible for and has ownership of the Mission Planning Software Design, Code, and Test ensuring performance, interfaces, and functional and non-functional software requirements are met. Our team is currently hiring for a broad range of experience levels including: Associate, Experienced, and Senior Engineers. Position Responsibilities Develop software design, coding and unit/integration testing of features/user stories Collaborate with product managers, designers, and other stakeholders to understand project requirements and translate them into technical specifications Work in small to medium sized agile teams composed of diverse engineering skills to tackle complex problems on a variety of projects and features Develop scalable and resilient front and backend solutions using cloud technologies Assist in the design, development and maintenance of software pipelines and tools Participate in code reviews to ensure adherence to architectural principles and coding standards Support the Ground software verification/validation using the selected testing tools, laboratories, and simulators Basic Qualifications (Required Skill/Experience): Bachelor's Degree Ability to obtain a U.S. Secret Security Clearance for which the U.S. Government requires U.S. Citizenship. Ability to obtain Secret U.S. Security clearance (Post-Start) Experience utilizing commercial Cloud Providers such as AWS, Azure or Google Cloud Platform Experience with containerization technologies such as Docker and Kubernetes Proficiency in software development languages (e.g. Python, JavaScript, SQL, Web/HTML, REST, C and C#) Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study, in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 2 years of related work experience OR Bachelor's Degree and 6+ years of directly related work experience OR 10+ years of related relevant experience Have or have held an active U.S. Security Clearance in the past 24 months Proficiency in backend programming languages (e.g. Python, C++, Node.js, and C#) Experience in front-end programming languages (e.g. React, and Redux) Experience with DevSecOps practices such as continuous integration and development tools (e.g. Jenkins, GitLab Runners) Knowledge of microservices architecture and related frameworks Knowledge in web design and development of web applications Experience working in an Agile Environment (e.g. Jira, Confluence) Experience working with Mission Planning Frameworks (e.g. JMPS, JOMS, NOMS) Knowledge of Model Based Systems Engineering principles and tools (e.g. Ops analysis, subsystem/sensor models, Cameo, Rhapsody, etc.) Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Associate: $99,450.00 - $134,550.00. Summary pay range for Experienced: $126,650.00 - $171,350.00. Summary pay range for Senior: $160,650.00 - $217,350.00. Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Apr. 15, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
04/04/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking Software Engineers - Developers (Associate, Experienced, and Senior) to join the Air Dominance team located in Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. The candidate will assist software systems development on cloud infrastructures following modern DevSecOps and Agile execution processes Support all phases of the software development lifecycle including requirements and interface definition, design, development, and integration of Cloud Native Software for Collaborative Mission Planning including: Aviate, Navigate and Communicate (ANC) Weapons, Sensor and Payload Planning Network and Communication Configuration Mission Debrief The selected candidate will be responsible for and has ownership of the Mission Planning Software Design, Code, and Test ensuring performance, interfaces, and functional and non-functional software requirements are met. Our team is currently hiring for a broad range of experience levels including: Associate, Experienced, and Senior Engineers. Position Responsibilities Develop software design, coding and unit/integration testing of features/user stories Collaborate with product managers, designers, and other stakeholders to understand project requirements and translate them into technical specifications Work in small to medium sized agile teams composed of diverse engineering skills to tackle complex problems on a variety of projects and features Develop scalable and resilient front and backend solutions using cloud technologies Assist in the design, development and maintenance of software pipelines and tools Participate in code reviews to ensure adherence to architectural principles and coding standards Support the Ground software verification/validation using the selected testing tools, laboratories, and simulators Basic Qualifications (Required Skill/Experience): Bachelor's Degree Ability to obtain a U.S. Secret Security Clearance for which the U.S. Government requires U.S. Citizenship. Ability to obtain Secret U.S. Security clearance (Post-Start) Experience utilizing commercial Cloud Providers such as AWS, Azure or Google Cloud Platform Experience with containerization technologies such as Docker and Kubernetes Proficiency in software development languages (e.g. Python, JavaScript, SQL, Web/HTML, REST, C and C#) Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study, in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 2 years of related work experience OR Bachelor's Degree and 6+ years of directly related work experience OR 10+ years of related relevant experience Have or have held an active U.S. Security Clearance in the past 24 months Proficiency in backend programming languages (e.g. Python, C++, Node.js, and C#) Experience in front-end programming languages (e.g. React, and Redux) Experience with DevSecOps practices such as continuous integration and development tools (e.g. Jenkins, GitLab Runners) Knowledge of microservices architecture and related frameworks Knowledge in web design and development of web applications Experience working in an Agile Environment (e.g. Jira, Confluence) Experience working with Mission Planning Frameworks (e.g. JMPS, JOMS, NOMS) Knowledge of Model Based Systems Engineering principles and tools (e.g. Ops analysis, subsystem/sensor models, Cameo, Rhapsody, etc.) Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Associate: $99,450.00 - $134,550.00. Summary pay range for Experienced: $126,650.00 - $171,350.00. Summary pay range for Senior: $160,650.00 - $217,350.00. Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Apr. 15, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
How You Will Make an Impact An Interior Van Technician at Reading Truck works under the direction of the Shop Supervisor to complete the installation of specialty truck equipment such as service utility bodies, stake bodies, dump bodies, hitches, and other commercial truck accessories. The Nuts and Bolts Mount hitches, shelves, drawers Install ladder racks, mud flaps Install back-up cameras Some wiring if needed Installation of locking mechanisms Installation of strobe lighting Required Credentials 2+ years of welding skills (metal and aluminum) 2+ years of electrical wiring Ability to build schematics Complex Hydraulics knowledge and experience (a plus) Independent ability to troubleshoot Ability to operate power hand tools (and have basic tools) How We Make an Impact At Reading Truck, we have more than 65 years of industry leadership in the manufacture, distribution, and enhancement of work truck bodies. As the world's largest upfitter of work trucks, we continue to experience rapid growth through our expanding network of more than 20 locations across North America. Take the next step in your career and come get paid to play with trucks! Some of Our Total Rewards We offer big company perks with small company culture: Comprehensive benefits package including Medical, Dental, Vision and Life 401(k) Savings Plan with Company Match Paid Parental Leave Tool Purchase Program Tuition Reimbursement Paid Time Off and 10 Observed (Paid) Holidays Generous Footwear, Eyewear, and Safety Equipment Discount Program Paid Training and Development Programs J.B. Poindexter & Co., Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. AGENCIES / THIRD PARTY RECRUITING FIRMS: Any unsolicited submissions received from third party agencies will be considered property of Reading Truck, and we will not be held liable for any fees related to those submissions. To learn more about Careers with Reading Truck visit our careers page PandoLogic. Category:Automotive,
04/04/2026
Full time
How You Will Make an Impact An Interior Van Technician at Reading Truck works under the direction of the Shop Supervisor to complete the installation of specialty truck equipment such as service utility bodies, stake bodies, dump bodies, hitches, and other commercial truck accessories. The Nuts and Bolts Mount hitches, shelves, drawers Install ladder racks, mud flaps Install back-up cameras Some wiring if needed Installation of locking mechanisms Installation of strobe lighting Required Credentials 2+ years of welding skills (metal and aluminum) 2+ years of electrical wiring Ability to build schematics Complex Hydraulics knowledge and experience (a plus) Independent ability to troubleshoot Ability to operate power hand tools (and have basic tools) How We Make an Impact At Reading Truck, we have more than 65 years of industry leadership in the manufacture, distribution, and enhancement of work truck bodies. As the world's largest upfitter of work trucks, we continue to experience rapid growth through our expanding network of more than 20 locations across North America. Take the next step in your career and come get paid to play with trucks! Some of Our Total Rewards We offer big company perks with small company culture: Comprehensive benefits package including Medical, Dental, Vision and Life 401(k) Savings Plan with Company Match Paid Parental Leave Tool Purchase Program Tuition Reimbursement Paid Time Off and 10 Observed (Paid) Holidays Generous Footwear, Eyewear, and Safety Equipment Discount Program Paid Training and Development Programs J.B. Poindexter & Co., Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. AGENCIES / THIRD PARTY RECRUITING FIRMS: Any unsolicited submissions received from third party agencies will be considered property of Reading Truck, and we will not be held liable for any fees related to those submissions. To learn more about Careers with Reading Truck visit our careers page PandoLogic. Category:Automotive,
Headquarters: San Francisco URL: We are looking for a Software Engineer who wants to be an impactful part of a small team looking to change the way technical hiring is done. In this role, you will be an integral part of our Product Engineering team and will drive features with immediate business impact to our core products: Assessments, Interviews, and Learn. You'll be a key member of the team that builds and maintains our identity and authentication systems, tying all of our products together. To learn more about the kinds of projects we work on, check out our Engineering blog! Some noteworthy projects include: Why we moved from MongoDB & Meteor observers to Redis What we learned when 10,000 users hit our platform at once How to avoid issues with your HTML email formatting Day-to-Day Contribute to building product features across the full stack (from the front-end to the back-end to separate microservices) Develop clean and maintainable code, with an emphasis on quality and craftsmanship Conduct code reviews and collaborate with your peers Lead technical design discussions on features where you're able to lend your expertise Basic Qualifications At least 4 years of professional, full-time software engineering experience Clear and effective communication skills Drive and initiative for getting things done Experience with TypeScript/JavaScript (browser, Node, or both) Available to work full-time. Candidates must be based within GMT-GMT+6 timezones. Bonus Points for the Following Experience with any part of our stack: React Node MongoDB GraphQL Experience with SSO, SCIM or RBAC. Any experience in a related industry, including assessments, HR tech, or education. To apply:
04/04/2026
Full time
Headquarters: San Francisco URL: We are looking for a Software Engineer who wants to be an impactful part of a small team looking to change the way technical hiring is done. In this role, you will be an integral part of our Product Engineering team and will drive features with immediate business impact to our core products: Assessments, Interviews, and Learn. You'll be a key member of the team that builds and maintains our identity and authentication systems, tying all of our products together. To learn more about the kinds of projects we work on, check out our Engineering blog! Some noteworthy projects include: Why we moved from MongoDB & Meteor observers to Redis What we learned when 10,000 users hit our platform at once How to avoid issues with your HTML email formatting Day-to-Day Contribute to building product features across the full stack (from the front-end to the back-end to separate microservices) Develop clean and maintainable code, with an emphasis on quality and craftsmanship Conduct code reviews and collaborate with your peers Lead technical design discussions on features where you're able to lend your expertise Basic Qualifications At least 4 years of professional, full-time software engineering experience Clear and effective communication skills Drive and initiative for getting things done Experience with TypeScript/JavaScript (browser, Node, or both) Available to work full-time. Candidates must be based within GMT-GMT+6 timezones. Bonus Points for the Following Experience with any part of our stack: React Node MongoDB GraphQL Experience with SSO, SCIM or RBAC. Any experience in a related industry, including assessments, HR tech, or education. To apply:
Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview What Does a Typical Day Look Like? Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
04/04/2026
Full time
Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview What Does a Typical Day Look Like? Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
About Turing Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview What Does a Typical Day Look Like Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross functional teams to enhance AI driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+ years of continuous full time experience at a top tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full stack applications and deploying scalable, production grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Additional Information Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Note: As part of assessments you will go through an AI video interview. After applying: you will receive an email with a login link. Please use that link to access the portal and complete your profile.
04/04/2026
Full time
About Turing Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview What Does a Typical Day Look Like Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross functional teams to enhance AI driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+ years of continuous full time experience at a top tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full stack applications and deploying scalable, production grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Additional Information Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Note: As part of assessments you will go through an AI video interview. After applying: you will receive an email with a login link. Please use that link to access the portal and complete your profile.
How You Will Make an Impact A Van Installer at Reading Truck works under the direction of the Shop Supervisor to complete the installation of specialty truck equipment such as service utility bodies, stake bodies, dump bodies, hitches, and other commercial truck accessories. The Nuts and Bolts Mount hitches, shelves, drawers Install ladder racks, mud flaps Install back-up cameras Some wiring if needed Installation of locking mechanisms Installation of strobe lighting Required Credentials 2+ years of welding skills (metal and aluminum) 2+ years of electrical wiring Ability to build schematics Complex Hydraulics knowledge and experience (a plus) Independent ability to troubleshoot Ability to operate power hand tools (and have basic tools) How We Make an Impact At Reading Truck, we have more than 65 years of industry leadership in the manufacture, distribution, and enhancement of work truck bodies. As the world's largest upfitter of work trucks, we continue to experience rapid growth through our expanding network of more than 20 locations across North America. Take the next step in your career and come get paid to play with trucks! Some of Our Total Rewards We offer big company perks with small company culture: Comprehensive benefits package including Medical, Dental, Vision and Life 401(k) Savings Plan with Company Match Paid Parental Leave Tool Purchase Program Tuition Reimbursement Paid Time Off and 10 Observed (Paid) Holidays Generous Footwear, Eyewear, and Safety Equipment Discount Program Paid Training and Development Programs J.B. Poindexter & Co., Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. AGENCIES / THIRD PARTY RECRUITING FIRMS: Any unsolicited submissions received from third party agencies will be considered property of Reading Truck, and we will not be held liable for any fees related to those submissions. To learn more about Careers with Reading Truck visit our careers page PandoLogic. Category:Automotive,
04/04/2026
Full time
How You Will Make an Impact A Van Installer at Reading Truck works under the direction of the Shop Supervisor to complete the installation of specialty truck equipment such as service utility bodies, stake bodies, dump bodies, hitches, and other commercial truck accessories. The Nuts and Bolts Mount hitches, shelves, drawers Install ladder racks, mud flaps Install back-up cameras Some wiring if needed Installation of locking mechanisms Installation of strobe lighting Required Credentials 2+ years of welding skills (metal and aluminum) 2+ years of electrical wiring Ability to build schematics Complex Hydraulics knowledge and experience (a plus) Independent ability to troubleshoot Ability to operate power hand tools (and have basic tools) How We Make an Impact At Reading Truck, we have more than 65 years of industry leadership in the manufacture, distribution, and enhancement of work truck bodies. As the world's largest upfitter of work trucks, we continue to experience rapid growth through our expanding network of more than 20 locations across North America. Take the next step in your career and come get paid to play with trucks! Some of Our Total Rewards We offer big company perks with small company culture: Comprehensive benefits package including Medical, Dental, Vision and Life 401(k) Savings Plan with Company Match Paid Parental Leave Tool Purchase Program Tuition Reimbursement Paid Time Off and 10 Observed (Paid) Holidays Generous Footwear, Eyewear, and Safety Equipment Discount Program Paid Training and Development Programs J.B. Poindexter & Co., Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. AGENCIES / THIRD PARTY RECRUITING FIRMS: Any unsolicited submissions received from third party agencies will be considered property of Reading Truck, and we will not be held liable for any fees related to those submissions. To learn more about Careers with Reading Truck visit our careers page PandoLogic. Category:Automotive,
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. Every mile driven by a Waymo car is a unique and valuable piece of data that can be leveraged into improving our machine learning models, and ultimately the safety and capabilities of the Waymo Driver. Charting the path from collection of a piece of data, to curation, (auto labeling), model training and evaluation, all the way to model deployment and monitoring is a process of continuous scaling and quality improvement of the entire ML lifecycle. The Area Technical Lead for the Waymo machine learning flywheel is responsible for architecting, connecting, automating and improving the entire span of this self improvement process in close collaboration with Waymo's infrastructure, modeling and evaluation teams. They are directly accountable to Waymo's leadership for the organization's ML data strategy and its impact on Driver quality. You will report directly to our Distinguished Engineer, Foundation Models. You Will: Architect a path towards every autonomous mile driven by a Waymo car to be automatically incorporated into an automated data driven self improvement loop for the Waymo Driver. Enable a data flywheel to serve the demands of scalable pre training, post training targeted to relevant critical behaviors, as well as Driver simulation and validation. Enable a modeling flywheel to efficiently consume that data to reliably generate updated models that are validated and deployable with minimal human toil. Coordinate cross functional efforts in partnership with data and ML infrastructure teams, resource planning, logging infrastructure, modeling and validation teams to accelerate the velocity, impact and leverage of driving data on the Waymo Driver. Act as the steward of data quality, by providing tooling and metrics to evaluate the impact of mining, selection and curation on the modeling pipeline performance. Articulate the strategy for incorporating diverse data sources, including third party and synthetic data into that improvement flywheel. Drive innovation across all axes of performance and efficiency, from Driver quality, to scalability, cost, engineering velocity, model architecture and performance. You Have: Master's degree or PhD in Computer Science, Engineering, or a related technical field 10+ years of experience in ML model development, and you have 2+ years experience with large scale vision, video, or multi modal foundation model development and their integration in end to end models 6+ years of experience in ML driven production systems that develops models with large scale data, training, evaluation, and deployment 6+ years of experience in a technical leadership role leading technical teams and setting technical directions in large ML Engineering organizations Demonstrated expertise in large scale machine learning and its key components: pre training, post training, and validation. Deep understanding of both infrastructure and quality aspects. Track record of architecting and standing up a machine learning flywheel at scale for mission critical applications. Experience with driving model quality improvements through systematic data scaling and curation. Communication and interpersonal skills. Ability to inspire, influence and coordinate across functions and disciplines. We Prefer: PhD in computer science. Experience in multi modal LLM model development, and their infrastructure. Familiarity with multi task, end to end models and their development challenges. The expected base salary range for this full time position across US locations is listed below. Actual starting pay will be based on job related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $332,000 - $421,000 USD
04/04/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. Every mile driven by a Waymo car is a unique and valuable piece of data that can be leveraged into improving our machine learning models, and ultimately the safety and capabilities of the Waymo Driver. Charting the path from collection of a piece of data, to curation, (auto labeling), model training and evaluation, all the way to model deployment and monitoring is a process of continuous scaling and quality improvement of the entire ML lifecycle. The Area Technical Lead for the Waymo machine learning flywheel is responsible for architecting, connecting, automating and improving the entire span of this self improvement process in close collaboration with Waymo's infrastructure, modeling and evaluation teams. They are directly accountable to Waymo's leadership for the organization's ML data strategy and its impact on Driver quality. You will report directly to our Distinguished Engineer, Foundation Models. You Will: Architect a path towards every autonomous mile driven by a Waymo car to be automatically incorporated into an automated data driven self improvement loop for the Waymo Driver. Enable a data flywheel to serve the demands of scalable pre training, post training targeted to relevant critical behaviors, as well as Driver simulation and validation. Enable a modeling flywheel to efficiently consume that data to reliably generate updated models that are validated and deployable with minimal human toil. Coordinate cross functional efforts in partnership with data and ML infrastructure teams, resource planning, logging infrastructure, modeling and validation teams to accelerate the velocity, impact and leverage of driving data on the Waymo Driver. Act as the steward of data quality, by providing tooling and metrics to evaluate the impact of mining, selection and curation on the modeling pipeline performance. Articulate the strategy for incorporating diverse data sources, including third party and synthetic data into that improvement flywheel. Drive innovation across all axes of performance and efficiency, from Driver quality, to scalability, cost, engineering velocity, model architecture and performance. You Have: Master's degree or PhD in Computer Science, Engineering, or a related technical field 10+ years of experience in ML model development, and you have 2+ years experience with large scale vision, video, or multi modal foundation model development and their integration in end to end models 6+ years of experience in ML driven production systems that develops models with large scale data, training, evaluation, and deployment 6+ years of experience in a technical leadership role leading technical teams and setting technical directions in large ML Engineering organizations Demonstrated expertise in large scale machine learning and its key components: pre training, post training, and validation. Deep understanding of both infrastructure and quality aspects. Track record of architecting and standing up a machine learning flywheel at scale for mission critical applications. Experience with driving model quality improvements through systematic data scaling and curation. Communication and interpersonal skills. Ability to inspire, influence and coordinate across functions and disciplines. We Prefer: PhD in computer science. Experience in multi modal LLM model development, and their infrastructure. Familiarity with multi task, end to end models and their development challenges. The expected base salary range for this full time position across US locations is listed below. Actual starting pay will be based on job related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $332,000 - $421,000 USD
