Engineering Manager, New Business Verticals - Machine Learning

DoorDash

San Francisco, CA, US
Base: $193,800—$285,000 usd; bonus/equity: opportu...
On-site
Machine learning engineering manager
Operations research and ml modeling
Building user-facing product
Lead and grow a team of exceptional machine learning engineers delivering on end-to-end product features with state of the art ML/AI approaches

Job Summary

  • Lead and grow a team of exceptional machine learning engineers delivering on end-to-end product features with state of the art ML/AI approaches.
  • Leverage cutting edge Operations Research, Forecasting and Time-series modeling techniques, Last Mile Logistics Optimization, Computer Vision, and a blend of Classical ML with Generative AI to solve real consumer problems.
  • DoorDash offers a comprehensive benefits package including a 401(k) plan with employer matching, 16 weeks of paid parental leave, and wellness benefits.

Matching Summary

Lead and grow a team of exceptional machine learning engineers delivering on end-to-end product features with state of the art ML/AI approaches.

Salary

Base: $193,800—$285,000 USD; Bonus/Equity: opportunities for equity grants; Benefits: comprehensive benefits package

Skills & Requirements

Must-have

  • Machine Learning Engineering Manager
  • Operations Research and ML modeling
  • building user-facing product
  • partner with cross-functional teams
  • lead and grow engineering team

Nice-to-have

  • innovative thinking and teamwork
  • cutting-edge technologies
  • rapidly changing business environment

Key Requirements

  • B.S., M.S., or PhD. in Computer Science
  • 7+ years of industry experience
  • Minimum of 2 years of leadership experience
  • Experience in leading successful application of ML to ranking and recommendation

Work Rights

Not specified

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