Tesla Machine Learning Engineer interview questions
Updated Apr 12, 2026
based on 2 ratings
Difficulty
Difficult
Experience
Mixed
How others got an interview
100%
Recruiter
Recruiter
Interview search
2 interviews
Tesla interviews FAQs
Machine Learning Engineer applicants have rated the interview process at Tesla with 4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 58.3% positive. This is according to Glassdoor user ratings.
Here are the most commonly searched roles for interview reports -
The DSA round had two hard questions. While the problems were fairly straightforward to understand conceptually, they were difficult to solve and required strong problem‑solving skills, careful logic, and handling of edge cases.
I applied through a recruiter. The process took 1 day. I interviewed at Tesla in Aug 2025
Interview
Failed at the screening interview. I was asked to implement a collision detection algorithm, my code passed the test cases but still failed with no reason. And when i asked HR, no response at all.
Interview questions [1]
Question 1
Writing the code to implement the collision detection