Staff Machine Learning Engineer, Causal Inference
DoorDash USA · San Francisco, CA; Sunnyvale, CA; Los Angeles, CA; Seattle, WA; New York City
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- Company
- DoorDash USA
- Location
- San Francisco, CA; Sunnyvale, CA; Los Angeles, CA; Seattle, WA; New York City
- Salary
- $203,500 — $299,300
- Posted
- August 18, 2026
About this job
About the Team DoorDash is building the next generation of causal decisioning systems for New Verticals: grocery, convenience, retail, alcohol, pets, flowers, and other emerging categories. These businesses operate in high-dimensional, messy marketplaces where every consumer, merchant, item, promotion, substitution, search result, and delivery promise creates a causal question. About the Role We are hiring a Causal Machine Learning Engineer to help build the causal ML foundation behind how DoorDash grows New Verticals. 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 evaluation, promotion optimization, or marketplace decisioning…
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