General Motors·Machine Learning Engineer·Hiring Manager Screen
Jul 2026
Hiring manager round for an ML Engineer role at GM that opens with a full research presentation, then pivots into a pretty intense back-and-forth about how your work connects to what the team actually ships.
- Walk us through a recent research project: what problem you tackled, the method you chose, how you set up experiments, what the results were, and what you took away from it.
- How do you handle being interrupted with deep technical questions while you're still in the middle of presenting your work?
- How does your research background map onto what this team is building, and where do you see gaps in your experience relative to what the role requires?
“This is the centerpiece of the whole interview so going in underprepared is not an option.”