Causal ML Engineer, Production Systems for Growth

Job description

DoorDash seeks a Causal Machine Learning Engineer to build the causal ML foundation behind how DoorDash grows New Verticals. We are looking for someone with production experience in causal systems such as uplift models, heterogeneous treatment effects, surrogate metrics, experimentation platforms, and off-policy evaluation.

You will join a senior pod of causal ML and econometrics experts across ML, Analytics, Product, and Engineering to shape the causal spine for a large-scale consumer

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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.