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Machine Learning Platform Engineer at DoorDash - ApplyBlast

Machine Learning Platform Engineer

DoorDash

6 days ago

San Francisco, California, United States

Onsite

Full Time

Medior

0 applicants

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About this role

This role involves joining the MDX team to build the agentic layer of DoorDash's ML infrastructure, designing systems that enable agents to accelerate ML development and operations. The position focuses on creating auto-research systems and developer support tools to help ML engineers efficiently develop, ship, and debug models. It requires building reliable, observable, and safe agentic workflows that integrate with existing ML platforms.

Responsibilities

Design and build agentic systems to accelerate ML development workflows
Implement infrastructure for agents to propose and evaluate modeling experiments
Develop evaluation and observability systems for agent behavior and reliability

Skills

Qualifications

B.S. in Computer ScienceM.S. in Computer SciencePhD in Computer Science

About DoorDash

doordash.com

Headquarters

San Francisco, California, United States

Company Size

10001+ employees

Founded

2013

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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.