Staff Machine Learning Scientist, Applied Causal Inference
DoorDash USA · San Francisco, CA; Sunnyvale, CA; Los Angeles, CA; Seattle, WA; New York City, NY
Posted 29 days ago
or apply directly on DoorDash USA's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 29 days DoorDash USA's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of DoorDash USA's roles list one
- Ghost-job risk at DoorDash USA
- low 0 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
- 2026-09-17
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 Scientist role focuses on developing causal machine learning systems to enhance DoorDash's New Verticals, which include various consumer marketplaces. The position involves designing and building models that influence marketplace decisions, developing frameworks for evaluation, and collaborating with cross-functional teams to implement these systems effectively.
- benefits
- 5/5
- freshness
- 4/5
- 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
- Deep practical experience with causal inference, econometrics, experimentation, or causal ML
- Experience shipping models or decision systems in production, ideally in consumer marketplaces
- Strong judgment around the tradeoffs between randomized experiments, observational estimation, and model-based decisioning
- Comfort debating and applying methods such as doubly robust estimation, double ML, IV, diff-in-diff, CUPED, uplift modeling, contextual bandits, and off-policy evaluation
- Strong ML engineering ability to build reliable pipelines, train models, and evaluate them rigorously
- Strong product judgment to connect methods to business decisions
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 mention of the tech stack or tools used
- Role involves high-level decision-making which may not suit those looking for hands-on technical work
- The position is focused on causal ML, which may limit exposure to other areas of machine learning
Summarised from DoorDash USA's posting. Read the full original.
Listed by DoorDash USA on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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