{"schemaVersion":"jobsearcher.job.v1","id":"a89bac491e73a17bda2d8aec","url":"https://jobsearcher.com/jobs/a89bac491e73a17bda2d8aec","canonicalUrl":"https://jobsearcher.com/jobs/a89bac491e73a17bda2d8aec","title":"Senior Lead, Machine Learning (GenAI, Python, AWS)","description":"Capital One McLean, US\r\nFull-time and Part-time\r\nAbout the RoleSenior Lead, Machine Learning (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.\r\nWhat you’ll do in the roleDesign, 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.\r\nInform 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).\r\nSolve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.\r\nCollaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.\r\nRetrain, maintain, and monitor models in production.\r\nLeverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\r\nConstruct optimized data pipelines to feed ML models.\r\nLeverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.\r\nEnsure 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.\r\nUse programming languages like Python, Scala, or Java.\r\nBasic QualificationsBachelor’s Degree\r\nAt least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)\r\nAt least 4 years of experience programming with Python, Scala, or Java\r\nAt least 3 years of experience building, scaling, and optimizing ML systems\r\nAt least 2 years of experience leading teams developing ML solutions\r\nPreferred QualificationsMaster’s or doctoral degree in computer science, electrical engineering, mathematics, or a similar field\r\nExperience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform\r\n4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow\r\n3+ years of experience developing performant, resilient, and maintainable code\r\n3+ years of experience with data gathering and preparation for ML models\r\n3+ years of people management experience\r\nML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\r\n3+ years of experience building production-ready data pipelines that feed ML models\r\nAbility to communicate complex technical concepts clearly to a variety of audiences\r\nCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.\r\nThe 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.\r\nCambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer\r\nMcLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer\r\nRichmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer\r\nCandidates 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.\r\nThis 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.\r\nCapital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being.\r\nLearn more at the Capital One Careers web#J-18808-Ljbffr","company":"Aitoolboard","rawCompany":"aitoolboard","city":"McLean","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-11-04T02:09:34.403Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Lead, Machine Learning (GenAI, Python, AWS)","description":"Capital One McLean, US\r\nFull-time and Part-time\r\nAbout the RoleSenior Lead, Machine Learning (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.\r\nWhat you’ll do in the roleDesign, 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.\r\nInform 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).\r\nSolve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.\r\nCollaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.\r\nRetrain, maintain, and monitor models in production.\r\nLeverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\r\nConstruct optimized data pipelines to feed ML models.\r\nLeverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.\r\nEnsure 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.\r\nUse programming languages like Python, Scala, or Java.\r\nBasic QualificationsBachelor’s Degree\r\nAt least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)\r\nAt least 4 years of experience programming with Python, Scala, or Java\r\nAt least 3 years of experience building, scaling, and optimizing ML systems\r\nAt least 2 years of experience leading teams developing ML solutions\r\nPreferred QualificationsMaster’s or doctoral degree in computer science, electrical engineering, mathematics, or a similar field\r\nExperience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform\r\n4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow\r\n3+ years of experience developing performant, resilient, and maintainable code\r\n3+ years of experience with data gathering and preparation for ML models\r\n3+ years of people management experience\r\nML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\r\n3+ years of experience building production-ready data pipelines that feed ML models\r\nAbility to communicate complex technical concepts clearly to a variety of audiences\r\nCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.\r\nThe 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.\r\nCambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer\r\nMcLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer\r\nRichmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer\r\nCandidates 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.\r\nThis 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.\r\nCapital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being.\r\nLearn more at the Capital One Careers web#J-18808-Ljbffr","datePosted":"2026-11-04T02:09:34.403Z","dateModified":"2026-11-04T02:09:34.403Z","hiringOrganization":{"@type":"Organization","name":"Aitoolboard","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a89bac491e73a17bda2d8aec"},"url":"https://jobsearcher.com/jobs/a89bac491e73a17bda2d8aec"}}