Machine Learning Engineer - New Verticals - Search & Recommendations

DoorDash

Sunnyvale, CA, US
I4: $137,100 - $201,600; i5: $167,800 - $246,800; ...
On-site
Production machine learning solutions
Applied ml for search/nlp/ir/recsys
Python ml development
Develop production machine learning solutions to build a world class personalized shopping experience for a diverse and expanding retail space

Job Summary

  • Develop production machine learning solutions to build a world class personalized shopping experience for a diverse and expanding retail space.
  • Partner with engineering and product leaders to help shape the product roadmap leveraging ML.
  • We offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave.

Matching Summary

Develop production machine learning solutions to build a world class personalized shopping experience for a diverse and expanding retail space.

Salary

I4: $137,100 - $201,600; I5: $167,800 - $246,800; I6: $203,500 - $299,300; Equity: opportunities for equity grants; Benefits: comprehensive benefits package

Skills & Requirements

Must-have

  • production machine learning solutions
  • applied ML for Search/NLP/IR/RecSys
  • Python ML development
  • collaboration with product leaders
  • mentoring junior team members

Nice-to-have

  • explore/exploit/MAB algorithms
  • LLMs and causal inference
  • Kotlin/Scala familiarity
  • high-energy and confident
  • growth-minded and adaptable

Key Requirements

  • 5+ years industry experience
  • M.S. or PhD. in quantitative field

Work Rights

Not specified

Tailored Resume

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