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

Capital One

Remote, US
Base: $286,200 - $326,700 (remote); bonus/equity: ...
Fully remote
Lead and scale ml engineering organization
Define technical strategy and roadmap
Build and manage engineers and leaders
At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build

Job Summary

  • At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
  • The Consumer Engagement Platform organization at Capital One empowers rapid financial product innovation at scale and delivers developer joy, for all Capital One’s consumer products and organizations, by providing well-managed, self-service, experimentation-driven, and personalized product development vehicles.
  • Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Matching Summary

At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

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

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

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter