Machine Learning Intern (Masters) - Summer 2027
Machine Learning Research
Likely openWe list a role only while we believe it is still open. Confirm on the posting before you apply.
What stands out
- Pay is stated up front — $193,800 – $285,000. Most postings never say.
- Posted in the last 24 hours.
- The same role is open in 2 locations.
The gist
This role involves applying advanced machine learning techniques to real-world problems at DoorDash. You'll work on research projects in areas like recommendation systems and ad tech, contributing to product improvements. Ideal for a master's student with strong coding and research experience in ML.
What you would actually do
- Develop ML models for discovery, ads, and forecasting using NLP and computer vision
- Work on research in auction systems, ranking, and causal inference
- Collaborate with engineering teams to improve product experiences
Skills mentioned
About this listing
- Found on
- First seen by InternDoor
- , within 2 hours of being posted
- Last seen listed
- Application page
- job-boards.greenhouse.io
InternDoor has recorded 11 engineering postings from DoorDash in the US since Sept 2026. LinkedIn listings stay on InternDoor for at most 30 days after we first see them, so this one comes down by , or sooner if we find its application has closed. When it comes down, this address points to DoorDash’s page instead of a dead end.
How to apply
Internships in the US often collect hundreds of applicants within a day, so applying early matters more than applying perfectly. A half-finished application sent on the first morning beats a polished one sent on the third.
This summary was written by InternDoor from the public posting, and is not the employer's own wording. The linked posting is the source of truth — check it before you apply.