Staff Machine Learning Engineer, Fulfillment Planning

DoorDash USA

San Francisco, CA, US
Base: $137,100 - $246,800 usd; equity: grants incl...
On-site
8+ years industry experience
Python programming fluency
Deep learning frameworks expertise
The team builds intelligence that powers DoorDash's logistics network by optimizing delivery planning and execution to improve customer experience and profitability

Job Summary

  • The team builds intelligence that powers DoorDash's logistics network by optimizing delivery planning and execution to improve customer experience and profitability.
  • This Staff-level role involves owning foundational ML systems for assignment and fulfillment estimation while defining technical direction across multiple teams.
  • Candidates will establish best practices for model development, monitoring, and governance while mentoring engineers to raise the technical bar for logistics ML.

Matching Summary

The team builds intelligence that powers DoorDash's logistics network by optimizing delivery planning and execution to improve customer experience and profitability.

Salary

Base: $137,100 - $246,800 USD; Equity: Grants included; Benefits: 401(k) match, 16 weeks parental leave, medical/dental/vision, PTO

Skills & Requirements

Must-have

  • 8+ years industry experience
  • Python programming fluency
  • Deep learning frameworks expertise
  • Production-scale ML system deployment
  • Real-time decisioning systems

Nice-to-have

  • Knowledge distillation from teacher models
  • Experience with LLM-inspired foundation models
  • Cross-functional stakeholder influence
  • Mentoring engineering teams
  • Ambiguous problem-solving skills

Key Requirements

  • 8+ years of industry experience
  • Fluency in Python
  • Hands-on deep learning framework experience
  • Mission-critical production model operation
  • End-to-end complex project leadership

Work Rights

Not specified

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