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  1. Home
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  5. Lead Machine Learning Engineer
Capital One logo

Lead Machine Learning Engineer

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

Apply Now

About the Team

As a Capital One Machine Learning Engineer (MLE), you will join an Agile team dedicated to productionizing machine learning applications and systems at scale. Our mission is to bridge the gap between data science innovation and real-world business impact by building robust, scalable, and responsible AI solutions. We operate at the intersection of Ops, Modeling, and Data Engineering, fostering a culture where continuous learning and the application of the latest industry best practices are central to our daily work.

About the Role

This role is designed for a technical leader who thrives in a collaborative, cross-functional environment. You will be responsible for the end-to-end lifecycle of machine learning systems, from detailed technical design and development to deployment and monitoring. Your work will directly influence how we solve complex business problems by leveraging state-of-the-art big data and ML technologies.

In this position, you will not only write and test application code but also make critical infrastructure decisions regarding model selection, data pipelines, and feature engineering. You will partner closely with Product and Data Science teams to ensure that our ML models are not only performant but also governed effectively to meet risk and compliance standards, including Responsible and Explainable AI principles. The role offers the opportunity to continuously evolve your skills while delivering optimized ML models that serve millions of customers.

Hiring Process

We are committed to a transparent and efficient hiring process. Candidates can expect a structured evaluation designed to assess both technical depth and cultural fit. While specific steps may vary, the process typically involves an initial conversation to discuss your background and interest, followed by technical assessments and team collaboration sessions. We encourage you to review the full job details and apply directly through our careers portal.

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 legal requirements. Our culture is built on inclusivity, and we strive to create an environment where diverse perspectives drive innovation.

Important Notice: At this time, Capital One will not sponsor a new applicant for employment authorization for this position. For candidates requiring an accommodation to apply or participate in the recruiting process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.

Work location

Work model: On-site

location_on

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_circleLeverage cloud-based architectures to deliver optimized ML models at scale
  • check_circleImplement continuous integration and deployment best practices for ML applications
  • check_circleEnsure code is well-managed and models follow Responsible and Explainable AI best practices
  • check_circleRetrain, maintain, and monitor models in production environments

Requirements

  • verifiedBachelor's degree
  • verified6+ years designing data-intensive solutions using distributed computing
  • verified4+ years programming with Python, Scala, or Java
  • verified2+ years building, scaling, and optimizing ML systems
  • verifiedMaster's or doctoral degree in computer science, electrical engineering, mathematics, or similar field (preferred)
  • verified3+ years building production-ready data pipelines for ML models (preferred)
  • verified3+ years experience with ML frameworks (scikit-learn, PyTorch, Dask, Spark, TensorFlow) (preferred)
  • verified2+ years developing performant, resilient, maintainable code (preferred)
  • verified2+ years experience with data gathering and preparation for ML models (preferred)
  • verified2+ years people leader experience (preferred)

Nice to Have

Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field. 3+ years of experience building production-ready data pipelines that feed ML models. 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. 2+ years of experience developing performant, resilient, and maintainable code. 2+ years of experience with data gathering and preparation for ML models. 2+ years of people leader experience. 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation. Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform. Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance. ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents.

Benefits & Perks

check_circlePerformance-based incentive compensation including cash bonuses and/or long term incentives
Capital One logo
Company

Capital One

Industry

it

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

6+ yrs (Lead)

Education

Bachelor's degree required

Job Type

Full-Time

Skills Required

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Skills, education and keywords

Skills: Machine Learning, Python, Scala, Java, Distributed Computing, Scikit-Learn, Pytorch, Dask, Spark, Tensorflow.

Education: Bachelor's degree required; Master's in Computer Science preferred; Doctoral degree in Computer Science preferred.

Frequently asked questions about Lead Machine Learning Engineer at Capital One

What does a Lead Machine Learning Engineer at Capital One do?expand_more
Day-to-day, the Lead Machine Learning Engineer at Capital One will 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 leverage cloud-based architectures to deliver optimized ml models at scale.
What are the requirements for this Lead Machine Learning Engineer role?expand_more
Capital One is looking for candidates who meet the following requirements: Bachelor's degree; 6+ years designing data-intensive solutions using distributed computing; 4+ years programming with Python, Scala, or Java; 2+ years building, scaling, and optimizing ML systems; Master's or doctoral degree in computer science, electrical engineering, mathematics, or similar field (preferred); and 3+ years building production-ready data pipelines for ML models (preferred).
Where is the Lead Machine Learning Engineer role at Capital One located?expand_more
Lead Machine Learning Engineer 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 Lead Machine Learning Engineer job remote, hybrid, or on-site?expand_more
Capital One has listed this Lead Machine Learning Engineer role as on-site.
How much experience is required for this Lead Machine Learning Engineer role?expand_more
Lead Machine Learning Engineer at Capital One typically requires 6+ years of relevant experience at the lead level.
What skills do you need for the Lead Machine Learning Engineer role at Capital One?expand_more
Key skills for Lead Machine Learning Engineer at Capital One include Machine Learning; Python; Scala; Java; Distributed Computing; Scikit-Learn; Pytorch; and Dask.
What education is required for Lead Machine Learning Engineer at Capital One?expand_more
Educational requirements for this role: Bachelor's degree required; Master's in Computer Science preferred; and Doctoral degree in Computer Science preferred.
What category does the Lead Machine Learning Engineer role belong to?expand_more
Lead Machine Learning Engineer at Capital One is part of the it job category on Recrutus.
Recrutus

Curating the world's most innovative career opportunities. We bridge the gap between visionary talent and industry-leading companies.

Search roles by city, category, skill, or job type — explore verified US employers, salary benchmarks, and remote-friendly teams hiring nationwide.

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Recrutus helps candidates discover roles that match their skills and helps teams reach qualified applicants faster. Browse by metro, discipline, or work style — from internships to senior leadership.

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Terms of serviceCookie policyAcceptable useDMCA policyEmployer termsCandidate terms
  • verified1+ years leading teams developing ML solutions (preferred)
  • verifiedExperience with public cloud (AWS, Azure, Google Cloud Platform) (preferred)
  • verifiedNot eligible for employment authorization sponsorship
  • Machine Learning
    Python
    Scala
    Java
    Distributed Computing
    Scikit-Learn
    Pytorch
    Dask
    Spark
    Tensorflow
    US privacy notice
    Accessibility