Senior Causal ML Engineer for Production Systems

DoorDash; Los Angeles (CA); Presencial; USD 170 000 - 230 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

401(k) matching

Paid parental leave (16 weeks)

Wellness benefits

Commuter benefits match

Paid time off and sick leave

Resumo da oferta

DoorDash is seeking a Causal Machine Learning Engineer to build the causal ML spine for a large-scale consumer marketplace across New Verticals. You will work with ML, Analytics, Product, and Engineering to productionize uplift models, counterfactual evaluation, and decisioning systems.

You will translate causal ideas into scalable production pipelines, connect experiments with observational data, and partner with econometrics leaders to apply advanced methods such as diff-in-diff, double ML,

Qualificações

• Deep practical experience with causal inference, econometrics, experimentation, or causal ML.
• Experience shipping models or decision systems in production, ideally in consumer marketplaces, ads, recommendations, search, pricing, promotions, logistics, or fintech.

Responsabilidades

• Design, build, and productionize causal ML systems that influence real marketplace decisions across New Verticals.
• Build uplift / heterogeneous treatment effect models for consumer lifecycle value, promotions, retention, and reactivation.
• Develop counterfactual evaluation frameworks for ranking, recommendations, search, promotions, substitutions, and marketplace interventions.
• Connect experimentation, observational data, and ML decisioning to enable faster, more reliable tradeoffs.
• Design surrogate metrics and early indicators to accelerate development while preserving marketplace health.

Conhecimentos

Causal inference

Econometrics

Experimentation

Production ML

Product intuition

Formação académica

PhD or MS in a quantitative field (CS/Statistics/Econometrics)

Ferramentas

Python

SQL

PyTorch/TensorFlow

Spark

Airflow

Descrição da oferta de emprego

DoorDash is seeking a Causal Machine Learning Engineer to build the causal ML spine for a large-scale consumer marketplace across New Verticals. You will work with ML, Analytics, Product, and Engineering to productionize uplift models, counterfactual evaluation, and decisioning systems.

You will translate causal ideas into scalable production pipelines, connect experiments with observational data, and partner with econometrics leaders to apply advanced methods such as diff-in-diff, double ML,