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DoorDash USA

Staff Machine Learning Engineer, Fulfillment Planning

DoorDash USA · San Francisco, CA; Sunnyvale, CA

Posted about 2 months ago

or apply directly on DoorDash USA's site. We never take the application ourselves.

Is this posting real?

This role has been open
55 days
DoorDash USA's roles stay open a median of 55 days
Reposted
No
Salary listed
No
0% of DoorDash USA's roles list one
Ghost-job risk at DoorDash USA
high
338 stale, 8 reposted of 462 open
Hiring momentum
682 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-27

Measured from postings appearing on and disappearing from DoorDash USA's own greenhouse board since 2026-08-03. Full hiring picture for DoorDash USA.

About this role

The Staff Machine Learning Engineer for Fulfillment Planning at DoorDash will lead the design, development, and deployment of large-scale production machine learning systems that enhance real-time decision-making in logistics. This role involves owning ML systems for assignment and fulfillment estimation, collaborating with cross-functional teams, and influencing technical direction. The engineer will also mentor others and establish best practices for model development and deployment.

Our read on this posting3.2out of 5
benefits
5/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of DoorDash USA as an employer.

What you need

  • 8+ years of industry experience building and deploying production-scale machine learning systems
  • Strong machine learning fundamentals
  • Fluency in Python
  • Hands-on experience with modern ML frameworks, especially deep learning frameworks
  • Experience designing, launching, and operating mission-critical ML models or systems in production
  • Ability to lead complex technical projects end to end

What you get

  • 401(k) plan with employer matching
  • 16 weeks of paid parental leave
  • Wellness benefits
  • Commuter benefits match
  • Paid time off and paid sick leave
  • Medical, dental, and vision benefits

Worth weighing

  • No specific salary listed, only ranges based on location and experience
  • Role involves high-impact individual contribution with potential ambiguity in problem spaces
  • Focus on building 0→1 ML systems may require a strong entrepreneurial mindset

Summarised from DoorDash USA's posting. Read the full original.

Listed by DoorDash USA on their greenhouse job board, last confirmed open on 2026-09-27. PitchMeAI is not the employer.

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