Causal ML Engineer for Marketplace Growth

Job description

DoorDash is seeking a Causal Machine Learning Engineer to build the causal ML foundation behind how DoorDash grows New Verticals. You will join a small, senior pod of causal ML and econometrics experts delivering scalable causal systems across ML, Analytics, Product, and Engineering.

The role emphasizes production-ready uplift and heterogeneous treatment effect models, counterfactual evaluation, and production pipelines that connect experimentation with ML decisioning to improve ranking,

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Worksite address

san francisco, CA, 94199, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.