Staff Software Engineer, Machine Learning
USD 203,500–299,300 / year
- Company
- DoorDash USA
- Location
- San Francisco, CA; New York City, NY; Sunnyvale, CA; Seattle, WA
- Work mode
- Office location (mode not stated)
- Open to applicants from
- On-site/hybrid: local candidates
- Level
- Lead / manager & above
- Employment
- Not stated
- Field
- Data & AI / Machine learning & AI
- Stated pay
- USD 203,500–299,300 / year
- Posted
- 2026-10-13 (33 days ago)
- Visa sponsorship mentioned
- Not mentioned
- Listing source
- Greenhouse
Machine learningPyTorchExcelSparkSnowflakeSQL AI / ML engineering & research
About the role
About the Team 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. About the Role 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…
Excerpt only. Read the full description and apply at the original posting on Greenhouse. We list jobs from public job-board feeds and do not alter employer content beyond this excerpt.
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