Meta Machine Learning Engineer interview questions
Updated May 31, 2026
based on 159 ratings
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Mostly positive
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Machine Learning Engineer applicants have rated the interview process at Meta with 5 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% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 63 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Meta overall takes an average of 32 days.
Common stages of the interview process at Meta as a Machine Learning Engineer according to 1 Glassdoor interviews include:
One on one interview: 100%
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The first round is online coding, there is no terminal to execute the results, and you must be very familiar with what your code outputs to pass. Unlike Leetcode we can try out the output, this one is not the case
Interview questions [1]
Question 1
Coding questions with following questions, sliding window questions
1 leetcode hard, 1 medium, challenging to complete in 45 minute interval. Interviewer was a bit pretentious, "these kinds of questions are representative of the work we do at Meta".
Interview questions [1]
Question 1
Convert a Binary Tree into a doubly linked list (pre-order)
I applied through a recruiter. The process took 1 week. I interviewed at Meta (London, England) in Apr 2024
Interview
First stage HR screening. all good
Second stage interview with a doctoral MLE about basic statistics. Regression formulas, bias formulas distributions etc. I was not 100% prepared so i lost it.
Interview questions [1]
Question 1
what is Linear regression, in word how would you calculate one. Write the formulas