Software Engineer, Machine Learning Platform - MDX

DoorDash · San Francisco, CA; Sunnyvale, CA; • Seattle, WA

Company
DoorDash
Location
San Francisco, CA; Sunnyvale, CA; • Seattle, WA
Last updated
2026-10-08
Source
Official Greenhouse feed

About this role

About the Team

Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on talented engineers to help us create and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers.

About the Role

At DoorDash, our Data Scientists and ML Engineers have the opportunity to dive into a wealth of delivery data to improve company-wide ML workflows such as Search & Recommendations, Dasher Assignment, ETA Prediction, and Dasher Capacity Planning. You will join a small team to build systems that empower efficient machine learning at scale. This is a hybrid opportunity in San Francisco, Sunnyvale or Seattle.…

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

Apply on DoorDash's site ↗

The full job description lives on DoorDash's official careers page. AI Stack Jobs links you straight to it — we never sit between you and the employer.

More AI/ML roles at DoorDash

  1. 2026-10-08 San Francisco, CA; Sunnyvale, CA; Seattle, WA
  2. 2026-10-08 San Francisco, CA; Sunnyvale, CA; • Seattle, WA
  3. 2026-10-06 San Francisco, CA
  4. 2026-10-06 San Francisco, CA; Sunnyvale, CA; Los Angeles, CA; Seattle, WA; New York, NY
  5. 2026-10-06 San Francisco, CA; Seattle, WA; New York, NY; Los Angeles, CA; Chicago, IL; Austin, TX; Washington D.C.
  6. 2026-10-06 San Francisco, CA; Sunnyvale, CA; Seattle, WA; New York, NY