Rolewise

Staff Machine Learning Engineer, Personalization

DoorDash USA · San Francisco · Office location (mode not stated)

USD 203,500–299,300 / year

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Company
DoorDash USA
Location
San Francisco, CA; Sunnyvale, CA
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 learningPyTorchTensorFlowPython AI / ML engineering & research

About the role

About the Team Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and personalization models that power DoorDash's growing retail and grocery business. About the Role We’re looking for a passionate Applied Machine Learning expert to join our team. As a Staff Machine Learning Engineer, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the growth and personalization experiences at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning…

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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