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Capital One

Distinguished Machine Learning Engineer

Capital One

Machine Learning Engineer at Capital One delivering scalable ML applications while collaborating with cross-functional teams. Driving innovation in financial services with a focus on risk technology.

Posted 4/14/2026full-timeMcLean • California, New York, Virginia • 🇺🇸 United StatesSeniorLead💰 $269,100 - $335,100 per yearWebsite

Tech Stack

Tools & technologies
CloudNumpyPandasPythonScalaScikit-Learn

About the role

Key responsibilities & impact
  • Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams
  • Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems
  • Lead large-scale ML initiatives with the customer in mind
  • Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
  • Optimize data pipelines to feed ML models
  • Use programming languages like Python, Scala, C/C++
  • Leverage compute technologies such as Dask and RAPIDS
  • Evangelize best practices in all aspects of the engineering and modeling lifecycles
  • Help recruit, nurture, and retain top engineering talent

Requirements

What you’ll need
  • Bachelor’s degree
  • At least 10 years of experience designing and building data-intensive solutions using distributed computing
  • At least 6 years of experience programming in C, C++, Python, or Scala
  • At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting
  • Master’s Degree (preferred)
  • 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models (preferred)
  • 2+ years of experience using Dask, RAPIDS, or in High Performance Computing (preferred)
  • 2+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) (preferred)

Benefits

Comp & perks
  • Comprehensive health insurance
  • Competitive bonuses
  • Flexible work arrangements
  • Professional development opportunities
  • Inclusive benefits supporting total well-being

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
machine learningdata pipelinesdistributed computingPythonScalaCC++DaskRAPIDSPyData
Soft Skills
collaborationleadershiprecruitmentnurturing talentcommunication
Certifications
Bachelor's degreeMaster's degree