Meta Machine Learning Engineer interview questions
Updated May 31, 2026
based on 159 ratings
Difficulty
Average
Experience
Mostly positive
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62%
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22%
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14%
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1%
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1%
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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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Asked an easy and a hard Leetcode question in the phone screen. Very difficult to make it bug free to finish two questions in 40 minutes. Didn’t expect hard questions for MLE as well. Good luck everyone
Interview questions [1]
Question 1
Calculator question on Leetcode. Difficult to finish within 20 mins
A recruiter first did a screening via phone call then scheduled a technical interview where there were two technical problems to solve. Two medium level LeetCode style coding questions. The interviewer was kind and helpful.
Asked an easy and a medium OA question. This was following an initial intro. The first round is just something from meta tagged questions on leetcode with a twist.
The second one is an onsite with multiple such questions and a system design round based in ML and a behavioral.
Interview questions [1]
Question 1
Find the maximum in an array and if multiple elements are the same, return one of these elements in a uniform distribution.