Staff Software Engineer, Machine Learning - Personalization
DoorDash USA · San Francisco, CA; Sunnyvale, CA
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
- 80 days DoorDash USA's roles stay open a median of 80 days
- Reposted
- No
- Salary listed
- No 0% of DoorDash USA's roles list one
- Ghost-job risk at DoorDash USA
- high 455 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
- 2026-10-22
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 Staff Software Engineer specializing in Machine Learning at DoorDash, you will focus on developing and implementing machine learning models to enhance personalization in the retail and grocery delivery space. Your role involves collaborating with engineering and product teams, mentoring junior members, and utilizing robust data infrastructure to improve consumer search experiences. This position is hybrid, allowing for both in-office and remote work.
- 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
- 8+ years of industry experience developing machine learning models with business impact
- Proficiency in using AI coding tools in the full software development lifecycle
- M.S. or PhD in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field
- Expertise in applied ML for Causal Inference and Recommendation Systems
- Machine learning background in Python; experience with PyTorch or TensorFlow preferred
- Ability to communicate technical details to nontechnical stakeholders
Nice to have
- Familiarity with explore/exploit/MAB algorithms and LLMs
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 mentioned, only a range based on location and experience
- Role involves mentoring and leading cross-functional teams, which may require strong leadership skills
- Hybrid work model may not suit everyone
Summarised from DoorDash USA's posting. Read the full original.
Listed by DoorDash USA on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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