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Principal Machine Learning Engineer at DoorDash - ApplyBlast

Principal Machine Learning Engineer

DoorDash

1 month ago

San Francisco, California, United States

Onsite

Full Time

Senior

1 applicant

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About this role

The Principal Machine Learning Engineer will lead the Causal ML pod and establish the technical foundation for company-level causal decisioning at DoorDash. This senior technical leadership role involves defining a durable causal value metric and building a decision system to guide product prioritization, experimentation, and marketplace optimization. The position requires setting multi-year technical direction, mentoring senior engineers, and influencing cross-functional leaders with clear causal evidence.

Responsibilities

Lead the Causal ML pod and set multi-year technical direction
Define and build a company-level causal value metric
Architect reusable causal capabilities for treatment effect estimation

Skills

About DoorDash

doordash.com

Headquarters

San Francisco, California, United States

Company Size

10001+ employees

Founded

2013

View Profile

DoorDash is a last‑mile logistics and on‑demand delivery platform that connects consumers with local restaurants, grocers, convenience stores, and other merchants through its marketplace and mobile apps. It operates consumer services (ordering and DashMart), a merchant toolkit for order management and analytics, a subscription service (DashPass), and DoorDash Drive for white‑label or large‑scale delivery. Deliveries are fulfilled by a network of independent drivers (“Dashers”) and optimized with routing and logistics technology across the U.S. and select international markets. The company positions itself as a technology partner for local commerce, helping merchants reach customers via flexible fulfillment and data-driven tools.