Sr. Director, Machine Learning Engineering (remote-eligible)

Capital One

Remote, US
Remote: $286,200 - $326,700; mclean, va: $314,800 ...
Fully remote
10+ years ai/ml algorithm experience
5+ years people leadership experience
Real-time personalization platform architecture
Capital One is seeking a Sr. Director of Machine Learning Engineering to lead the development of AI systems that enhance personalized customer experiences. The role involves overseeing a high-performing engineering organization and driving the strategy for machine learning infrastructure and applications

Job Summary

  • The role involves leading a high-performing engineering organization responsible for the Personalization Platform that powers real-time, personalized product experiences across Capital One products.
  • Candidates will define technical strategy and drive the evolution of MLOps practices through automated deployment workflows and scalable observability.
  • Capital One offers competitive compensation ranging from $286,200 to $359,300 depending on location, along with performance-based incentives and comprehensive benefits.

Matching Summary

Match Score: 85

Capital One is seeking a Sr. Director of Machine Learning Engineering to lead the development of AI systems that enhance personalized customer experiences. The role involves overseeing a high-performing engineering organization and driving the strategy for machine learning infrastructure and applications.

Salary

Remote: $286,200 - $326,700; McLean, VA: $314,800 - $359,300; Performance based incentive compensation available

Skills & Requirements

Must-have

  • 10+ years AI/ML algorithm experience
  • 5+ years people leadership experience
  • Real-time personalization platform architecture
  • GenAI infrastructure and LLM optimization
  • MLOps and model lifecycle governance

Nice-to-have

  • Experience with AWS Ultraclusters
  • Background in consumer banking products
  • Strong cross-functional stakeholder influence
  • Proven track record building high-performing teams
  • Expertise in vector databases and Nemo Guardrails

Key Requirements

  • Bachelor's degree plus 10 years experience OR Master's plus 8 years
  • At least 5 years of people leadership experience
  • 7 years managing engineering teams (Preferred)
  • 8+ years deploying scalable AI on major cloud platforms (Preferred)

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter