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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, ensuring that machine learning solutions are robust, scalable, and ready for the demands of a financial services environment.

About the Role

This position serves as a critical intersection of Ops, Modeling, and Data Engineering. You will be responsible for the end-to-end lifecycle of machine learning applications, from detailed technical design and development to implementation and maintenance. Your work will focus on architectural design, code review, and ensuring high availability and performance for our ML systems.

In this role, you will collaborate closely with Product and Data Science teams to solve complex business problems. You will leverage your understanding of ML modeling techniques to inform infrastructure decisions, including model selection, feature engineering, and validation strategies. The day-to-day involves writing and testing application code, automating tests and deployment, and constructing optimized data pipelines. You will also play a key role in retraining, maintaining, and monitoring models in production, ensuring they adhere to best practices in Responsible and Explainable AI.

Hiring Process

Candidates are expected to submit their applications directly through our careers portal. We review applications on a rolling basis, with a minimum acceptance window of 5 business days. Please note that we do not accept applications from agencies.

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.

We are committed to providing reasonable accommodations for applicants with disabilities. If you require an accommodation during the recruiting process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential.

Note: At this time, Capital One will not sponsor a new applicant for employment authorization or offer immigration-related support for this position.

Work location

Work model: On-site

location_on

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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 or doctoral degree in computer science, electrical engineering, mathematics, or similar field 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
In this Lead Machine Learning Engineer at Capital One role, you 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 ensure high availability; and implement continuous integration and deployment best practices for ml applications.
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.
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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 and ensure high availability
  • 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_circleCollaborate with cross-functional Agile teams to enhance big data and ML software
  • check_circleRetrain, maintain, and monitor ML 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)
  • verified1+ years leading teams developing ML solutions (preferred)
  • verifiedExperience with public cloud (AWS, Azure, Google Cloud Platform) (preferred)
  • verifiedExperience designing, implementing, scaling complex data pipelines for ML models (preferred)
  • verifiedNo work authorization sponsorship available

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

Machine LearningPythonScalaJavaDistributed ComputingScikit-LearnPytorchDaskSparkTensorflow
$197k-246karrow_forward
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; and Master's or doctoral degree in computer science, electrical engineering, mathematics, or similar field 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.
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