Senior Causal ML Engineer for Production Systems

DoorDash; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

DoorDash is seeking a Causal Machine Learning Engineer to build the causal ML backbone behind growth across New Verticals. You will design and productionize uplift and heterogeneous treatment effect models, connect experimentation with observational data, and develop evaluation frameworks for ranking, recommendations, and promotions.

You will work with ML engineers, economists, data scientists, product managers, and business leaders to translate causal insights into scalable decisions that

Job description

DoorDash seeks a Causal Machine Learning Engineer to build the causal ML backbone behind growth across New Verticals. You will design and productionize uplift and heterogeneous treatment effect models, connect experimentation with observational data, and develop evaluation frameworks for ranking, recommendations, and promotions.

You will work with ML engineers, economists, data scientists, product managers, and business leaders to translate causal insights into scalable decisions that impact