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

Capital One

Remote, US
Base: $286,200 - $326,700 (remote); bonus/equity: ...
Fully remote
Lead and scale engineering organization
Define technical strategy and roadmap
Build, develop, and manage engineers
Capital One is seeking a Sr. Director of Machine Learning Engineering to lead the development of AI-driven personalized customer experiences. This fully remote role requires extensive experience in AI/ML technologies and strong leadership capabilities

Job Summary

  • Lead and scale a high-performing engineering organization responsible for the Personalization Platform that powers real-time, personalized product experiences and multi-channel targeted user messaging across Capital One products and services.
  • Build, develop, and manage engineers and engineering leaders; set a high bar for hiring, performance, talent density, coaching, and succession planning across the organization.
  • Attract and retain top talent in the AI industry and nurture personal and professional development for your team.

Matching Summary

Match Score: 85

Capital One is seeking a Sr. Director of Machine Learning Engineering to lead the development of AI-driven personalized customer experiences. This fully remote role requires extensive experience in AI/ML technologies and strong leadership capabilities.

Salary

Base: $286,200 - $326,700 (Remote); Bonus/Equity: Performance based incentive compensation; Benefits: Comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • Lead and scale engineering organization
  • Define technical strategy and roadmap
  • Build, develop, and manage engineers
  • Drive design, buildout, and operation of ML infrastructure
  • Architect low-latency, event-driven systems
  • Guide adoption of AI and LLM optimization techniques

Nice-to-have

  • Creating responsible and reliable AI systems
  • Bringing humanity and simplicity to banking
  • Empower rapid financial product innovation
  • Foster a culture of learning
  • Nurture personal and professional development

Key Requirements

  • Bachelor's degree + 10 years AI/ML experience
  • Master's degree + 8 years AI/ML experience
  • 5 years people leadership experience
  • 7 years managing engineering team
  • 8+ years deploying AI solutions on cloud
  • Master's or PhD in Computer Science

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter