Meta Machine Learning Engineer interview questions
Updated May 31, 2026
based on 159 ratings
Difficulty
Average
Experience
Mostly positive
How others got an interview
62%
Recruiter
Recruiter
22%
Applied online
Applied online
14%
Employee Referral
Employee Referral
1%
Campus Recruiting
Campus Recruiting
1%
In Person
In Person
Interview search
159 interviews
Viewing 31 - 35 of 159 Interviews
Meta interviews FAQs
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%
Here are the most commonly searched roles for interview reports -
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