Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)
Not Disclosed•Full-TimeOn-site
location_onFairfax County Fire Station Number 1, McLean, 1455, Laughlin Avenue, Bryn Mawr, McLean, Fairfax County, Virginia, 22101, United States
About the Team
Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices.
As a Capital One Machine Learning Engineer, you will be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. This team focuses on the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms, ensuring high availability and performance.
About the Role
In this Sr. Lead position, you will bridge the gap between Ops, Modeling, and Data Engineering. You will collaborate with Product and Data Science teams to design, build, and deliver ML models and components that solve real-world business problems. Your work will involve making critical infrastructure decisions based on a deep understanding of ML modeling techniques, including model selection, data handling, and validation strategies.
You will be responsible for solving complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. A key part of your day-to-day involves retraining, maintaining, and monitoring models in production, as well as constructing optimized data pipelines to feed these models. You will leverage cloud-based architectures to deliver optimized ML models at scale while ensuring all code is well-managed, models are governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
Hiring Process
Capital One is committed to a fair and transparent hiring process. We expect to accept applications for a minimum of 5 business days. Please note that no agencies are accepted for this role.
Equal Opportunity & Culture
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. We promote a drug-free workplace and consider qualified applicants with a criminal history in a manner consistent with applicable laws.
We are dedicated to creating an inclusive environment where diverse backgrounds and perspectives are valued. If you require an accommodation to apply for a position or to perform the essential functions of your job, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.
Work location
Work model: On-site
Fairfax County Fire Station Number 1, McLean, 1455, Laughlin Avenue, Bryn Mawr, McLean, Fairfax County, Virginia, 22101, United States
McLean, Virginia
Key Responsibilities
- check_circleDesign, build, and deliver ML models and components to solve real-world business problems
- check_circleDevelop and review model and application code using Python, Scala, or Java
- check_circleConstruct optimized data pipelines to feed ML models
- check_circleCollaborate with cross-functional Agile teams to create and enhance software solutions
- check_circleEnsure high availability and performance of machine learning applications
- check_circleImplement continuous integration and deployment best practices for ML models
- check_circleRetrain, maintain, and monitor models in production environments
- check_circleGovern models from a risk perspective and ensure adherence to Responsible AI practices
Requirements
- verifiedBachelor's degree
- verified8+ years designing data-intensive solutions using distributed computing
- verified4+ years programming with Python, Scala, or Java
- verified3+ years building, scaling, and optimizing ML systems
- verified2+ years leading teams developing ML solutions
- verifiedMaster's or doctoral degree in computer science, electrical engineering, mathematics, or similar field (preferred)
- verifiedExperience with public cloud (AWS, Azure, or Google Cloud Platform) (preferred)
- verified4+ years with ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) (preferred)
- verified3+ years developing performant, resilient, and maintainable code (preferred)
- verified3+ years with data gathering and preparation for ML models (preferred)
Nice to Have
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.
Benefits & Perks
check_circlePerformance-based incentive compensation including cash bonuses and/or long term incentives
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Skills, education and keywords
Skills: Machine Learning, Python, Scala, Java, Aws, Azure, Google Cloud Platform, Scikit-Learn, Pytorch, Dask.
Education: Bachelor's degree required; Master's or doctoral degree in computer science, electrical engineering, mathematics, or similar field preferred.
Frequently asked questions about Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) at Capital One
What does a Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) at Capital One do?expand_more
A Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) at Capital One is responsible for the following: Design, build, and deliver ML models and components to solve real-world business problems; Develop and review model and application code using Python, Scala, or Java; Construct optimized data pipelines to feed ML models; and Collaborate with cross-functional Agile teams to create and enhance software solutions.
What are the requirements for this Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) role?expand_more
Capital One is looking for candidates who meet the following requirements: Bachelor's degree; 8+ years designing data-intensive solutions using distributed computing; 4+ years programming with Python, Scala, or Java; 3+ years building, scaling, and optimizing ML systems; 2+ years leading teams developing ML solutions; and Master's or doctoral degree in computer science, electrical engineering, mathematics, or similar field (preferred).
Where is the Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) role at Capital One located?expand_more
Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) at Capital One is based in Fairfax County Fire Station Number 1, McLean, 1455, Laughlin Avenue, Bryn Mawr, McLean, Fairfax County, Virginia, 22101, United States. This is a on-site role.
Is this Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) job remote, hybrid, or on-site?expand_more
Capital One has listed this Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) role as on-site.
How much experience is required for this Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) role?expand_more
Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) at Capital One typically requires 8+ years of relevant experience at the lead level.
What skills do you need for the Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) role at Capital One?expand_more
Key skills for Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) at Capital One include Machine Learning; Python; Scala; Java; Aws; Azure; Google Cloud Platform; and Scikit-Learn.
What education is required for Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) at Capital One?expand_more
Educational requirements for this role: Bachelor's degree required; and Master's or doctoral degree in computer science, electrical engineering, mathematics, or similar field preferred.
What category does the Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) role belong to?expand_more
Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) at Capital One is part of the it job category on Recrutus.