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DoorDash USA

Machine Learning Engineer, Marketplace Optimization

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 Machine Learning Engineer for Marketplace Optimization will design, build, optimize, and scale ML systems within the Ads Delivery funnel. This role involves collaborating with Data Science and Product teams to develop algorithms, improving existing ML infrastructure, and participating in system design. The engineer will also conduct experiments to measure the impact of models on marketplace KPIs and work with large-scale datasets to enhance bidding and auction processes.

Our read on this posting2.8out of 5
benefits
5/5
freshness
1/5
career value
4/5
role clarity
4/5
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

  • B.S., M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field
  • Proficiency in using AI coding tools in the full software development lifecycle
  • Industry experience building or maintaining machine learning systems in production
  • Solid understanding of machine learning fundamentals, statistics, and data modeling
  • Strong programming skills in Python, Java, or C++
  • Experience with ML frameworks such as TensorFlow, PyTorch, or XGBoost

Nice to have

  • Familiarity with auction systems, bidding, forecasting, or budget optimization
  • Familiarity with experimentation science, including experience designing lift tests

What you get

  • 401(k) plan with employer matching
  • 16 weeks of paid parental leave
  • wellness benefits
  • commuter benefits match
  • paid time off
  • paid sick leave

Worth weighing

  • No specific salary range provided for the role
  • The role involves working with large-scale datasets which may imply a need for strong data handling skills
  • The position requires collaboration across multiple teams, which may indicate a dynamic work environment

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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