Meta Machine Learning Engineer interview questions
based on 159 ratings - Updated May 31, 2026
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Machine Learning Engineer applicants have rated the interview process at Meta 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 44% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 21 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 36 days.
Common stages of the interview process at Meta as a Machine Learning Engineer according to 1 Glassdoor interviews include:
Phone interview: 50%
Skills test: 50%
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First phone screen interview was 45 min call. Next steps were supposed to be 5 rounds including system design and etc . I was rejected in the first screen call.
Interview questions [1]
Question 1
They asked two coding questions. One was writing merge sort algorithm and the other comparing two texts and returning the x number of in common charachters
Typical meta loop. Nothing was a suprise. Leetcode mediums for first round and then mediums and system for the second round. Here are some more words Glassdoor requires 30 of them