Software Engineer, Machine Learning - Credit & Refund Optimization

DoorDash

San Francisco, CA, US
Base: $137,100 - $299,300 usd depending on level; ...
On-site
Causal inference expertise
Optimization algorithm development
Python and pytorch proficiency
This role involves leading the development of state-of-the-art ML systems that personalize and optimize credits and refund decisions to balance cost efficiency with long-term customer retention

Job Summary

  • This role involves leading the development of state-of-the-art ML systems that personalize and optimize credits and refund decisions to balance cost efficiency with long-term customer retention.
  • You will design and deploy causal inference models to accurately assess the impact of refunds on customer satisfaction and behavior while building personalized decision systems that adapt in real time.
  • The position offers a comprehensive benefits package including 16 weeks of paid parental leave, wellness benefits, and equity grants alongside a competitive base salary.

Matching Summary

This role involves leading the development of state-of-the-art ML systems that personalize and optimize credits and refund decisions to balance cost efficiency with long-term customer retention.

Salary

Base: $137,100 - $299,300 USD depending on level; Equity: Grants included; Benefits: Comprehensive package including 401(k) matching and 16 weeks paid parental leave

Skills & Requirements

Must-have

  • Causal inference expertise
  • Optimization algorithm development
  • Python and PyTorch proficiency
  • MLflow and Spark experience
  • Real-time personalized decision systems

Nice-to-have

  • Strong product sense
  • Cross-functional leadership skills
  • Excellent communication abilities
  • Experience with multi-objective optimization

Key Requirements

  • 3+ years industry experience in ML systems
  • M.S. or Ph.D. in quantitative field
  • Deep expertise in statistical modeling and causal inference

Work Rights

Not specified

Tailored Resume

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