Lead Causal ML Engineer — Value Metrics & Strategy
doordashNew York (NY)
Lead Causal ML Engineer — Value Metrics & Strategy
Posted today
doordashNew York (NY)
SENIORITY
Lead
About the role
DoorDash is hiring a Principal Machine Learning Engineer to lead the Causal ML pod and establish the technical foundation for causal decisioning across products and marketplace actions.
You will define the company-level causal value metric, connecting experiments, observational data, and production ML to guide investments, prioritization, and governance while ensuring customer experience and marketplace health.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
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
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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