Senior Causal ML Architect
doordashSeattle (WA)
About the role
DoorDash is seeking a Principal Machine Learning Engineer to lead the Causal ML pod and establish the technical foundation for company-level causal decisioning. You will set the multi-year direction, own the metric framework, and translate complex causal evidence into clear decisions for product, growth, and marketplace teams.
This senior role blends rigorous research with production impact, guiding experiments, observational evidence, and learned models to optimize value while protecting user
Before you apply
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Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
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Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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