Senior Lead Machine Learning Engineer, (intelligent Foundations & Experiences)

Capital One

McLean, VA, US
Mclean, va: $229,900 - $262,400; richmond, va: $20...
Productionizing machine learning applications at scale
Machine learning architectural design
Develop and review model code
As a Capital One Machine Learning Engineer (MLE), 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 (MLE), you’ll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
  • You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms.
  • Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Matching Summary

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

Salary

McLean, VA: $229,900 - $262,400; Richmond, VA: $209,000 - $238,500; San Francisco, CA: $250,800 - $286,200; Bonus/Equity: Performance based incentive compensation; Benefits: Comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • productionizing machine learning applications at scale
  • machine learning architectural design
  • develop and review model code
  • high availability and performance
  • Python, Scala, or Java programming
  • cloud-based architectures and platforms
  • continuous integration and continuous deployment

Nice-to-have

  • collaboration with Product and Data Science teams
  • understanding of ML modeling techniques
  • solving complex problems
  • cross-functional Agile team collaboration
  • ML industry impact
  • communicate complex technical concepts

Key Requirements

  • Bachelor's Degree
  • 8+ years designing/building data-intensive solutions
  • 4+ years programming with Python, Scala, or Java
  • 3+ years building/scaling/optimizing ML systems
  • 2+ years leading ML development teams
  • Master's or doctoral degree in CS, EE, Math, or similar field
  • 4+ years with ML frameworks (scikit-learn, PyTorch, etc.)
  • 3+ years developing performant, resilient, maintainable code
  • 3+ years data gathering and preparation for ML
  • 3+ years people management experience
  • 3+ years building production-ready data pipelines

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter