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Staff Machine Learning Scientist, Applied Causal Inference

DoorDash USA · San Francisco, CA; Sunnyvale, CA; Los Angeles, CA; Seattle, WA; New York City, NY

Staff Machine Learning Scientist, Applied Causal Inference is open at DoorDash USA in San Francisco, CA; Sunnyvale, CA; Los Angeles, CA; Seattle, WA; New York City, NY. The posting gives a salary of $204K - $299K. Posted on Aug 18, 2026, and still on DoorDash USA’s careers page when we last checked, on Nov 14, 2026.

About the role

We are hiring a Causal Machine Learning Engineer to help build the causal ML foundation behind how DoorDash grows New Verticals. This is not a generic ML role with some experimentation work on the side. We are looking for someone who has built or deeply worked on production causal systems: uplift models, heterogeneous treatment effect models, surrogate metrics, experimentation platforms, counterfactual policy…

The opening lines of the posting. The rest is on DoorDash USA’s careers page.

Hiring at DoorDash USA

DoorDash USA has 427 open roles right now, 34 of them remote. Most are in Engineering, Retail & Hospitality and Data & Research. The median advertised salary across its roles with a published range is $172K. See all its roles

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