Process
Typical meta loop. Nothing was a surprise.
LeetCode mediums for the first round, and then mediums and system design for the second round.
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Questions
Typical loop questions that you can find online.
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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
5.0
Interesting work and fast-paced culture
Machine Learning Engineer • Current Employee
Seattle, Washington, United States
May 24, 2021
Pros: Interesting technical problems to work on and pretty fast-paced compared to the other tech giants. I also personally like the focus on actual product impact.
Cons: Too many meetings. Hit-or-miss middle managers.
5.0
n/a
Machine Learning Engineer • Current Employee
October 10, 2023
Pros: Move fast and fail fast.
Cons: Lack of planning sometimes. Some managers are not mature enough to be a good lead.
5.0
Good place to work, Low WLB
Machine Learning Engineer • Current Employee
New York, New York, United States
May 18, 2024
Pros: Nice comp, good project scope.
Cons: Low WLB, pretty stressful evaluation cycle.
- 5.0Interesting work and fast-paced cultureMachine Learning Engineer • Current EmployeeSeattle, Washington, United StatesMay 24, 2021Pros: Interesting technical problems to work on and pretty fast-paced compared to the other tech giants. I also personally like the focus on actual product impact.Cons: Too many meetings. Hit-or-miss middle managers.
- 5.0n/aMachine Learning Engineer • Current EmployeeOctober 10, 2023Pros: Move fast and fail fast.Cons: Lack of planning sometimes. Some managers are not mature enough to be a good lead.
- 5.0Good place to work, Low WLBMachine Learning Engineer • Current EmployeeNew York, New York, United StatesMay 18, 2024Pros: Nice comp, good project scope.Cons: Low WLB, pretty stressful evaluation cycle.
Meta Interview Questions
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