PitchMeAI Jobs
DoorDash USA

Machine Learning Engineer, Drive

DoorDash USA · San Francisco, CA; Sunnyvale, CA; Seattle, WA

Posted about 3 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
99 days
DoorDash USA's roles stay open a median of 103 days
Reposted
No
Salary listed
No
0% of DoorDash USA's roles list one
Ghost-job risk at DoorDash USA
high
462 stale, 8 reposted of 462 open
Hiring momentum
135 roles opened in the last 90 days
↓ down vs. the prior 90 days
Last confirmed on the employer's board
2026-11-14

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

As a Machine Learning Engineer on the Drive team at DoorDash, you will be responsible for developing and maintaining machine learning systems that enhance delivery and pickup time predictions, merchant prep-time estimation, and logistics decision-making. Your role will involve end-to-end ownership of machine learning models, from feature engineering to deployment and monitoring, while collaborating with cross-functional teams to implement AI-driven solutions that improve operational efficiency and customer satisfaction.

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

  • 5+ years of industry experience building and shipping production machine learning systems with measurable business impact
  • Strong experience developing production machine learning models using modern deep learning frameworks such as PyTorch
  • Experience building, deploying, monitoring, and maintaining production ML systems end-to-end
  • Strong software engineering skills in Python
  • Deep expertise in at least one of the following areas: Deep Learning, Reinforcement Learning, Optimization / Operations Research, Large Language Models (LLMs) or Vision-Language Models (VLMs)
  • Experience applying machine learning to estimation, ranking, prediction, optimization, or decision-making problems at production scale

Nice to have

  • Hands-on experience with LLMs or VLMs
  • Experience in logistics, marketplaces, or delivery platforms
  • Proficiency using AI-assisted development tools (e.g. Claude Code, Codex, Cursor) throughout the software development lifecycle

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 figure listed, only a range based on location and experience
  • The role involves working in ambiguous environments where experimentation is key, which may not suit everyone
  • The position requires collaboration across multiple teams, which may be challenging for those who prefer independent work

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

Listed by DoorDash USA on their greenhouse job board, last confirmed open on 2026-11-14. PitchMeAI is not the employer.

More roles at DoorDash USA

All 462 open roles at DoorDash USA →