AI Engineer applicants have rated the interview process at Tesla with 3.2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 60% positive. To compare, the company-average is 55.1% positive. This is according to Glassdoor user ratings.
Candidates applying for AI Engineer roles take an average of 21 days to get hired, when considering 5 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 Engineer according to 5 Glassdoor interviews include:
Phone interview: 40%
One on one interview: 20%
Skills test: 20%
Background check: 20%
Here are the most commonly searched roles for interview reports -
Initial screening covered availability, location, and team fit. The first round focused on recent publications, with discussion aimed at understanding the candidate’s research background, interests, and alignment with the role.
I applied through an employee referral. The process took 3 weeks. I interviewed at Tesla (Palo Alto, CA) in Feb 2026
Interview
The first two rounds focused on ML coding and in general resume and ML discussions. The onsite focused on RL coding, running an evaluation of a vision pipeline and a system design round.
Recruiter call then online interviews, leetcode style. The virtual interview focused on data structures and deep learning basics. There were 3 interviews in total, whole process took 1.5 months and interviewers were nice.
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