Process
There are two 45-minute sections for coding interviews. There's also a simple coding problem in the behavioral interview round.
If you prepare 200 LeetCode problems under the Facebook tag, you should be able to crush the coding problems.
For system design and ML design, I think I did average on ML design and poorly on system design. That's probably why I received a rejection.
The overall interview process was good. The only thing I'm not happy with is the ML design part; no questions were asked on ML fundamentals at all.
Questions
Most questions are LeetCode medium-level problems.
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Interview Statistics
The following metrics were computed from 92 interview experiences for the Meta Machine Learning Engineer role in United States.
Success Rate
Meta's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in United States.
Meta Work Experiences
- 3.0Good Team, Mixed OutlookMachine Learning Engineer • Former EmployeeMenlo Park, California, United StatesMarch 22, 2024Pros: Pay Scope People Support SpeedCons: Infra CEO midlife crisis WLB Zero planning Tech debt
- 4.0All right, place to workMachine Learning Engineer • Current EmployeeBellevue, Washington, United StatesMarch 8, 2025Pros: 1. Work is pretty interesting and enjoyable. 2. Compensation is not bad.Cons: 1. Tons of politics and scope stealing, which makes the enjoyable work feel much less rewarding. 2. Diversity issues: I was the only person on a team of 10 who couldn't speak a certain language and was frequently left out of discussions.
- 5.0Intense Environment, Excellent CompanyMachine Learning Engineer • Former EmployeeMountain View, California, United StatesMarch 19, 2021Pros: Good company, good environment, high pressure.Cons: High peer pressure, fast work tempo
Meta Interview Questions
