Distinguished Machine Learning Engineer - Bank Tech

Capital One

McLean, VA, US
$269,100 - $307,200 (mclean, va); $244,700 - $279,...
Productionizing machine learning applications at scale
Generative ai techniques and tools
Cloud-based architectures and technologies
As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale

Job Summary

  • As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale.
  • This role will help shape how GenAI capabilities are responsibly applied across the organization to move from reactive detection to proactive, intelligence-driven fraud prevention.
  • 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, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale.

Salary

$269,100 - $307,200 (McLean, VA); $244,700 - $279,200 (Wilmington, DE); Base: Not specified; Bonus/Equity: Eligible for 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
  • generative AI techniques and tools
  • cloud-based architectures and technologies
  • Python, Scala, C/C++ programming
  • data pipelines to feed ML models

Nice-to-have

  • technical leadership to engineering teams
  • mentor other engineers
  • inspiring leadership style
  • attract and develop high-performing engineers

Key Requirements

  • Bachelor’s degree
  • 10 years of experience designing data-intensive solutions
  • 6 years of programming experience
  • 3 years of ML development lifecycle experience
  • 3+ years of experience scaling data pipelines
  • 2+ years of experience with Dask or RAPIDS
  • 2+ years of experience with PyData ecosystem

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter