Lead Machine Learning Engineer (enterprise Platforms Technology)

EPX

McLean, VA, US
Base: $197,300 - $225,100 (mclean, va), $215,200 -...
Machine learning model development
Distributed computing solutions
Python, scala, or java programming
As a Capital One Machine Learning Engineer, you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale

Job Summary

  • As a Capital One Machine Learning Engineer, you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
  • Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
  • This role is expected to accept applications for a minimum of 5 business days and is an equal opportunity position committed to non-discrimination.

Matching Summary

As a Capital One Machine Learning Engineer, you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Salary

Base: $197,300 - $225,100 (McLean, VA), $215,200 - $245,600 (New York, NY); Bonus/Equity: Performance based incentive compensation; Benefits: Comprehensive health, financial and other benefits

Skills & Requirements

Must-have

  • Machine learning model development
  • Distributed computing solutions
  • Python, Scala, or Java programming
  • Cloud-based ML architectures
  • Big data and ML application development
  • Continuous integration and deployment

Nice-to-have

  • Responsible and Explainable AI practices
  • Cross-functional Agile team collaboration
  • People leadership experience
  • ML framework expertise (e.g. PyTorch, TensorFlow)
  • Performance optimization of ML systems
  • Production-ready data pipeline construction

Key Requirements

  • Bachelor’s Degree
  • At least 6 years experience with distributed computing
  • At least 4 years programming in Python, Scala, or Java
  • At least 2 years building and optimizing ML systems
  • Master’s or Doctoral Degree preferred
  • 3+ years experience with ML frameworks
  • 2+ years people leadership experience
  • Experience with public cloud ML deployment
  • No sponsorship available

Work Rights

Must have valid US work authorization without employer sponsorship

Tailored Resume

Cover Letter