Machine Learning Engineer applicants have rated the interview process at Meta with 3.3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 54% positive. To compare, the company-average is 56.6% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 39 days to get hired, when considering 118 user submitted interviews for this role. To compare, the hiring process at Meta overall takes an average of 31 days.
Common stages of the interview process at Meta as a Machine Learning Engineer according to 118 Glassdoor interviews include:
Phone interview: 34%
Skills test: 20%
One on one interview: 19%
Presentation: 8%
Personality test: 7%
Other: 3%
Background check: 3%
Group panel interview: 3%
IQ intelligence test: 2%
Drug test: 1%
Here are the most commonly searched roles for interview reports -
I applied through an employee referral. The process took 4 months. I interviewed at Meta (Menlo Park, CA) in Mar 2025
Interview
Several phone calls.
Coding Screen
Final round consisting of several coding screens. behavioral interview and ML system design interviews.
In total, 6 LC style questions were asked.
There was a hiring freeze, but then they restarted hiring.
I have found them to be very unbiased.
Interview questions [1]
Question 1
6 LC style questions
Design a recommender system
Usual behavioral questions.
Surprisingly straightforward — I expected tougher questions for a Machine Learning Engineer role. The first technical round focused on system design, where they asked me to develop a recommendation system for Facebook Reels. Later, I tackled regularization concepts and a DSA question about finding the kth largest element in an array. The interesting part was that I’d just reviewed a similar breakdown on PracHub, which made the discussion feel familiar. Overall, a positive experience, and I was thrilled to accept the offer afterward.
Interview questions [3]
Question 1
Design a recommendation system for Facebook Reels feed
The interview process went well, went through 2 coding rounds, 1 design and 1 behavior, the coding is two easy questions per round. I think the interviewer expect you to have a good understanding of the algo and want you to talk through it, instead of just implementing it.
Interview questions [1]
Question 1
All the questions are common meta style questions, easy and standard
Applied online. Received a recruiter screen within two weeks covering background and role fit. Followed by a technical phone screen with coding (LeetCode medium-hard, arrays/graphs). Then a virtual onsite with 4 rounds: 2 coding, 1 ML system design (recommendation/ranking system), and 1 behavioral. Interviewers were professional and gave time to ask questions. Results communicated within a week post-onsite.