Process
Standard LeetCode interview. Not particularly original.
If you can do LeetCode problems, you can work for Facebook. This will induce a certain selection bias, which may or may not work in your favor.
Questions
LeetCode.
This is how they hire.
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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
Excellent place to work
Machine Learning Engineer • Current Employee
June 15, 2022
Pros: Amazing benefits
Excellent compensation
ICs are generally well-supported by management
Interesting, challenging work
Cons: Leadership and vision can sometimes be murky.
Reputation is deserved in many cases, but not as much in others.
5.0
Good Team, Poor Work-life
Machine Learning Engineer • Current Employee
Toronto, Ontario, Canada
March 24, 2024
Pros: Great culture and good teammates.
Cons: WLB is not good at the moment.
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.
- 4.0Excellent place to workMachine Learning Engineer • Current EmployeeJune 15, 2022Pros: Amazing benefits Excellent compensation ICs are generally well-supported by management Interesting, challenging workCons: Leadership and vision can sometimes be murky. Reputation is deserved in many cases, but not as much in others.
- 5.0Good Team, Poor Work-lifeMachine Learning Engineer • Current EmployeeToronto, Ontario, CanadaMarch 24, 2024Pros: Great culture and good teammates.Cons: WLB is not good at the moment.
- 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.
Meta Interview Questions
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