Principal Machine Learning Engineer, Causal Decisioning

DoorDash connects customers with local businesses for delivery, from restaurants to grocery, retail and its own DashMart stores. We are hiring a Principal Machine Learning Engineer to lead the Causal ML pod and establish the technical foundation for company-level causal decisioning. This is a senior technical leadership role for a practitioner who has built consequential causal systems in production and can turn ambiguous business questions into a coherent measurement and decision platform.

Key responsibilities

• Lead the Causal ML pod across technical strategy, architecture, execution, and quality
• Define the company-level causal value metric and its measurement framework, including the target construct, time horizon, component outcomes
• Build the metric into a decision system that teams can use for product prioritization, experiment readouts, intervention selection, budget allocation
• Establish how randomized experiments, quasi-experiments, observational estimation, and learned models work together
• Architect reusable causal capabilities for treatment effect estimation, surrogate validation, counterfactual policy evaluation, sensitivity analysis
• Guide production applications across promotions, lifecycle interventions, ranking, recommendations, search, substitutions, demand shaping

Requirements

• Extensive experience (10+ years) in causal inference, econometrics, experimentation, or causal machine learning
• Experience leading the design and productionization of causal models, measurement platforms, experimentation systems, or large-scale decision engines
• Deep judgment about randomized experiments, observational methods, surrogate endpoints, and model-based decisioning
• Fluency with methods such as doubly robust estimation, double machine learning, instrumental variables, difference-in-differences, synthetic controls
• Strong ML engineering and systems ability
• The ability to reason about long-term customer and marketplace value, not only local model metrics or immediate conversion

Location and schedule

• Onsite in San Francisco, California

Salary and benefits

US base salary $282,100 to $414,800 a year. DoorDash also offers benefits; the full list is on the posting.

How to apply

Apply on the company's own site.