Software Engineer, Machine Learning - Credit & Refund Optimization

DoorDash USA

San Francisco, CA, US
Base: $137,100 - $299,300 usd depending on level; ...
On-site
Causal inference modeling expertise
Optimization algorithm development
Python and pytorch proficiency
This role focuses on building intelligent systems that drive fairness, efficiency, and trust in the DoorDash platform through optimized credit and refund decisions

Job Summary

  • This role focuses on building intelligent systems that drive fairness, efficiency, and trust in the DoorDash platform through optimized credit and refund decisions.
  • Candidates will design causal models to assess the impact of refunds on customer retention while developing optimization frameworks under budget constraints.
  • The position offers comprehensive benefits including a 401(k) match, 16 weeks of paid parental leave, and flexible paid time off.

Matching Summary

This role focuses on building intelligent systems that drive fairness, efficiency, and trust in the DoorDash platform through optimized credit and refund decisions.

Salary

Base: $137,100 - $299,300 USD depending on level; Equity grants included; Comprehensive benefits package with 401(k) matching and paid parental leave

Skills & Requirements

Must-have

  • Causal inference modeling expertise
  • Optimization algorithm development
  • Python and PyTorch proficiency
  • Real-time personalized decision systems
  • AI coding tools usage

Nice-to-have

  • Strong product sense
  • Cross-functional leadership skills
  • Excellent communication abilities
  • Experience with experimentation frameworks
  • Deep statistical modeling knowledge

Key Requirements

  • 3+ years industry experience in ML systems
  • M.S. or Ph.D. in quantitative field
  • Proficiency in Spark and MLflow tooling

Work Rights

Not specified

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