Process
Two rounds back-to-back, with two LeetCode tagged problems of medium difficulty each. The interviewers were friendly and introduced their working experiences to me. I messed up one not-difficult problem, which I guess is why I didn't get the offer.
Questions
LeetCode tagged problems:
Middle difficulty.
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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
11%
Pass 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
Positive53%
Neutral26%
Negative21%
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in United States.
Meta Work Experiences
4.0
Highly recommend for early career
Machine Learning Engineer • Former Employee
New York, New York, United States
November 7, 2024
Pros: Autonomy on projects and objectives.
Well-compensated.
Cons: * Too many parallel initiatives
* Mass layoffs
5.0
Brilliant Team, Frequent Reorgs
Machine Learning Engineer • Current Employee
Menlo Park, California, United States
March 15, 2024
Pros: Really brilliant coworkers doing amazing things. Some managers really know their tech, so it's very easy to get guidance.
Cons: Too much reorg. People are still on the previous project and get reorged into other teams.
3.0
Good Pay, Toxic Culture
Machine Learning Engineer • Current Employee
Menlo Park, California, United States
March 23, 2025
Pros: Total compensation package is good.
Cons: Very toxic culture and it is getting worse.
- 4.0Highly recommend for early careerMachine Learning Engineer • Former EmployeeNew York, New York, United StatesNovember 7, 2024Pros: Autonomy on projects and objectives. Well-compensated.Cons: * Too many parallel initiatives * Mass layoffs
- 5.0Brilliant Team, Frequent ReorgsMachine Learning Engineer • Current EmployeeMenlo Park, California, United StatesMarch 15, 2024Pros: Really brilliant coworkers doing amazing things. Some managers really know their tech, so it's very easy to get guidance.Cons: Too much reorg. People are still on the previous project and get reorged into other teams.
- 3.0Good Pay, Toxic CultureMachine Learning Engineer • Current EmployeeMenlo Park, California, United StatesMarch 23, 2025Pros: Total compensation package is good.Cons: Very toxic culture and it is getting worse.
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