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ML Serving Platform Engineer at DoorDash - ApplyBlast

ML Serving Platform Engineer

DoorDash

13 days ago

San Francisco, California, United States

Onsite

Full Time

Medior

0 applicants

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About this role

This role involves building and maintaining the next generation of DoorDash's ML serving platform, focusing on connecting request routing, online feature retrieval, and model inference across CPU and GPU infrastructure. The engineer will tackle complex infrastructure challenges related to latency, reliability, and scale while developing self-serve tools to empower internal modelers and engineering teams. Collaboration with cross-functional teams is essential to integrate open-source innovations and ensure efficient production workloads.

Responsibilities

Build self-serve infrastructure and APIs to empower modelers with independent model deployment and configuration
Design and implement modular ML serving architecture connecting request routing, feature retrieval, and model inference
Improve Kubernetes deployment and autoscaling to optimize CPU/GPU resource efficiency and meet latency requirements

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.