Staff Machine Learning Engineer, Fulfillment Planning

doordashusa · San Francisco, CA; Sunnyvale, CA

Posted
6 days ago
Last confirmed live
Today

What this role involves

This is a Staff Machine Learning Engineer role at DoorDash, focusing on building and deploying large-scale production ML systems for fulfillment planning. The role involves owning ML systems for assignment and fulfillment estimation, leading 0-to-1 initiatives, and influencing technical direction across teams. The position is high-impact and individual contributor with a focus on logistics ML.

Skills this posting asks for

  • machine learning
  • optimization
  • systems engineering
  • production ml systems
  • real-time decisioning
  • assignment
  • routing
  • batching
  • fulfillment estimation
  • logistics
  • llm
  • foundation models
  • model development
  • model deployment
  • model monitoring
  • model retraining
  • model governance
  • python
  • data science
  • product collaboration
  • cross-functional
  • mentoring
  • technical leadership
  • tier-0 services

Requirements

  • Level: staff

From the employer’s posting

<img style="display: none; max-width: 100%;" src="https://track.jobadx.com/v1/i.gif?utm_pixel=224e990b-8ff4-4287-8d5d-…

Read the full description on doordashusa’s careers page

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