AI/ML Engineer applicants have rated the interview process at Tesla with 3.3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 33% positive. To compare, the company-average is 55% positive. This is according to Glassdoor user ratings.
Candidates applying for AI/ML Engineer roles take an average of 30 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at Tesla overall takes an average of 33 days.
Common stages of the interview process at Tesla as a AI/ML Engineer according to 3 Glassdoor interviews include:
Phone interview: 33%
IQ intelligence test: 17%
One on one interview: 17%
Skills test: 17%
Presentation: 17%
Here are the most commonly searched roles for interview reports -
First interview was with head ai reasearcher. Very helpful and insightful but also asked very difficult questions. Do your research beforehand about them and about the industry and about their work.
I applied online. I interviewed at Tesla (Mountain View, CA) in Mar 2026
Interview
I had a 30 min interview. The recruiter talked a lot! Like a monologue for the 15 minutes. They were bragging about the engineering team they recruited. A name, who transferred to Tesla from Apple, was even mentioned. It was clear for me the pace and company culture at the end of the interview.
Interview questions [1]
Question 1
What ML/AI application I have done, how large the dataset was, any experience with GPU computing
I applied in-person. The process took 4 weeks. I interviewed at Tesla (San Francisco, CA) in Oct 2021
Interview
All parties were very friendly and professional.
We were using Microsoft teams via audio-only mode.
This is the flow:
1) intro call with recruiter
2) technical interview with hiring manager (coding questions)
3) interview with domain expert
4) interview with panel
Interview questions [1]
Question 1
medium leetcode question about the search for an element in the stack.