Staff Software Engineer, Machine Learning - Personalization

DoorDash

San Francisco, CA, US
I4: $137,100—$201,600 usd; i5: $167,800—$246,800 u...
On-site
Applied ml for causal inference
Recommendation systems expertise
Deep learning based models
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 applying ML.
  • Mentor junior team members, and lead cross functional pods to create collective impact.

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 USD; I5: $167,800—$246,800 USD; I6: $203,500—$299,300 USD; Bonus/Equity: Opportunities for equity grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • Applied ML for Causal Inference
  • Recommendation Systems expertise
  • Deep learning based models
  • Production level machine learning
  • Python machine learning background

Nice-to-have

  • Explore/exploit/MAB algorithms familiarity
  • LLMs familiarity
  • Collaborative mindset
  • Growth-minded

Key Requirements

  • 8+ years industry experience
  • M.S. or PhD. in quantitative field
  • Shipping ML solutions to production
  • Ability to communicate technical details

Work Rights

Not specified

Tailored Resume

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