Machine Learning Engineer - Eta Team

DoorDash USA

Sunnyvale, CA, US
Base: $137,100 - $299,300 usd depending on level; ...
On-site
Deep learning model development
Production-grade ml systems
Python programming proficiency
Join the team building the world's most reliable on-demand logistics engine by developing next-generation ETA models

Job Summary

  • Join the team building the world's most reliable on-demand logistics engine by developing next-generation ETA models.
  • You will own the entire modeling life cycle from feature creation and experimentation to monitoring and explainability.
  • The role offers comprehensive benefits including 16 weeks of paid parental leave, wellness benefits, and equity grants.

Matching Summary

Join the team building the world's most reliable on-demand logistics engine by developing next-generation ETA models.

Salary

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

Skills & Requirements

Must-have

  • Deep Learning model development
  • Production-grade ML systems
  • Python programming proficiency
  • PyTorch and Spark experience
  • End-to-end modeling lifecycle ownership

Nice-to-have

  • AI coding tools usage (Claude Code, Cursor)
  • LLM domain knowledge
  • Reinforcement learning expertise
  • Operations research background
  • Humble and adaptable mindset

Key Requirements

  • M.S. or PhD in Computer Science or related field
  • 3+ years industry experience post-graduate degree
  • Experience shipping production-grade ML models
  • Located in or relocating to CA or WA

Work Rights

Not specified

Tailored Resume

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