Software Engineer, Machine Learning (All Levels / All Teams)

DoorDash · Sunnyvale, CA; San Francisco, CA; Seattle, WA; New York, NY

Company
DoorDash
Location
Sunnyvale, CA; San Francisco, CA; Seattle, WA; New York, NY
Last updated
2026-09-30
Source
Official Greenhouse feed

About this role

About the Role

DoorDash is building the world's most reliable on-demand, logistics engine for delivery. We are continuing to grow rapidly and expanding our Engineering offices globally! We are looking for Software Engineers, Machine Learning to build and maintain a large scale 24x7 global infrastructure system that powers DoorDash's 3-sided marketplace of Consumers, Merchants and Dashers.

As a Software Engineer, Machine Learning, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the catalog system and our product knowledge graph at the heart of our fast-growing grocery and retail delivery business.  You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph accurate, standardized, semantically rich, easily discoverable, and extensible. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multi-disciplinary teams.…

Summary from DoorDash's official Greenhouse career feed — read the full description on the original posting ↗

Apply on DoorDash's site ↗

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