Machine Learning Intern Interview Experience - United States
Process
There were three interviews in total.
One interview was a high-level discussion phase on how I would approach a problem.
The other two were one hour each, split between a coding question for 30 minutes and ML research-related questions. There were follow-ups on how you would improve the code.
The interviewers were friendly.
Questions
How would I detect whether a point is within a convex hull? Code up a relevant function.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Nvidia Machine Learning Intern role in United States.
Success Rate
Nvidia's interview process for their Machine Learning Intern roles in the United States is incredibly easy as the vast majority of engineers get an offer after going through it.
Experience Rating
Candidates reported having very good feelings for Nvidia's Machine Learning Intern interview process in United States.
Nvidia Work Experiences
- 4.0Good Mentor, Virtual ProjectsMachine Learning Intern • Former EmployeeHong Kong, Hong Kong, ChinaJanuary 9, 2024Pros: - Great Connection - Interesting Projects - Good supervisorCons: - Completely virtual - Project impact is limited
- 5.0Best intern experienceMachine Learning Intern • Former EmployeeSanta Clara, California, United StatesOctober 29, 2015Pros: Got the chance to work on a brand new project. Great engineers to work with, and I learned a lot of things from them. Very frequent and amazing intern engaging events. Good pay.Cons: I don't think there are cons to this company.
- 5.0Good pay, great work cultureASIC Design Engineer • Current EmployeeBengaluru, Karnataka, IndiaNovember 29, 2025Pros: Great work culture, supportive environment.Cons: Competition for growth due to a lot of strong and well-qualified colleagues.
Nvidia Interview Questions
