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 26 - 30 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 -
I applied through a recruiter. I interviewed at Meta
Interview
screening technical interview, asking two leetcode-style questions. big big focus on complexity analysis. I found this difficult because the interviewer kept focusing on complexity of solution first before I had any time to actually formulate the algorithm which was a bit annoying. Zero time to think.
Interview questions [1]
Question 1
two leetcode style questions, one easy one medium.
I applied through a recruiter. I interviewed at Meta (London, England) in Mar 2025
Interview
Whole process was fine, and the first-round screening was not difficult. Leetcode same algorithm test. Was still failed as I had limited time to prepare. Feels like enough time to prepare with not less than 50 tests on leetdcode is essential.
one coding interview, which is the first round, then followed by a four virtual onsite. Four virtual onsite interviews including two coding sessions, one behavior session and one machine learning system design session.