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

Capital One

Remote, US
Remote: $286,200 - $326,700; mclean, va: $314,800 ...
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10+ years ai/ml algorithm experience
5+ years people leadership experience
Real-time personalization platform design
** Capital One is seeking a Sr. Director of Machine Learning Engineering to lead the development of personalized AI solutions for consumer products. This remote-eligible position emphasizes innovation in machine learning and real-time customer engagement, requiring extensive experience in AI technologies and leadership. **

Job Summary

  • This role involves leading a high-performing engineering organization responsible for the Personalization Platform that powers real-time, personalized product experiences across Capital One products.
  • The team is committed to delivering always-on, cohort-of-one personalization powered by resilient data foundations, production-grade ML, and GenAI systems.
  • Capital One offers competitive compensation ranging from $286,200 to $359,300 annually depending on location, along with performance-based incentives and comprehensive benefits.

Matching Summary

Match Score: 75

** Capital One is seeking a Sr. Director of Machine Learning Engineering to lead the development of personalized AI solutions for consumer products. This remote-eligible position emphasizes innovation in machine learning and real-time customer engagement, requiring extensive experience in AI technologies and leadership. **

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 design
  • GenAI infrastructure and MLOps expertise
  • Low-latency event-driven system architecture

Nice-to-have

  • Experience with AWS Ultraclusters and Huggingface
  • Proven track record in scaling organizations
  • Deep expertise in PyTorch and TensorFlow
  • Strong background in cloud-native Kubernetes
  • Ability to influence senior stakeholders

Key Requirements

  • Bachelor's degree plus 10 years AI/ML 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
  • Master's or PhD in Computer Science preferred

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter