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  1. Home
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  5. Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)
Capital One logo

Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)

Not Disclosed•Full-TimeOn-site

location_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States

Apply Now

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 (MLE), 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

The Sr. Lead Machine Learning Engineer role sits at the intersection of Operations, 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 day-to-day involves making critical infrastructure decisions based on your understanding of ML modeling techniques, including model selection, feature engineering, and validation strategies.

In this position, you will lead the creation and enhancement of software that enables state-of-the-art big data and ML applications. You will be responsible for constructing optimized data pipelines, leveraging cloud-based architectures to deliver models at scale, and utilizing continuous integration and deployment best practices. A key part of your mission is to ensure all code is well-managed, models are well-governed from a risk perspective, and the ML engineering follows best practices in Responsible and Explainable AI.

As a leader, you will guide the team in retraining, maintaining, and monitoring models in production, while continuously learning and applying the latest innovations in machine learning engineering.

Hiring Process

Capital One is committed to a fair and efficient hiring process. We expect to accept applications for a minimum of 5 business days. Please note that no agencies are accepted for this role.

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 and used only to the extent required to provide needed reasonable accommodations.

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 for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. We offer a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.

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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
Day-to-day, the Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) 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 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
Recrutus

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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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Work location

Work model: On-site

location_on

NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States

New York, New York

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_circleGovern models from a risk perspective and follow Responsible and Explainable AI best practices
  • check_circleRetrain, maintain, and monitor models in production environments

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)
  • verified3+ years people management experience (preferred)
  • verified3+ years building production-ready data pipelines (preferred)
  • verifiedWork authorization sponsorship available

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_circleEligible for performance-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

8+ yrs (Lead)

Education

Bachelor's degree required

Job Type

Full-Time

Skills Required

Machine LearningPythonScalaJavaAwsAzureGoogle Cloud PlatformScikit-LearnPytorchDask
$230k-286k
arrow_forward
Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) at Capital One is based in NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, 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.
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