Process
Recruiter call - past experience.
Phone screen - 2 medium LeetCode problems.
On-site: ML system design, behavioral questions, and 2 LeetCode problems.
Overall, the mood was friendly, with staff being very helpful throughout the process.
Questions
Asked the next permutation problem.
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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
Good place to work, chaotic
Machine Learning Engineer • Current Employee
Menlo Park, California, United States
June 16, 2023
Pros: Surrounded by the best engineers, there's a lot to learn.
Cons: It's been very chaotic since the layoffs.
2.0
Perks But Poor Management
Machine Learning Engineer • Former Employee
San Jose, California, United States
May 9, 2023
Pros: the office perks whenever I did go in.
Cons: No communication from leadership and poor management.
3.0
Cool, but too unstable
Machine Learning Engineer • Current Employee
London, England, United Kingdom
November 21, 2022
Pros: Great amenities, good work locations, amazing perks.
The development culture is very open and light. There is a focus on producing impact, which is very nice.
Cons: The ad market is very unstable, and things around the metaverse are crude at the moment.
- 4.0Good place to work, chaoticMachine Learning Engineer • Current EmployeeMenlo Park, California, United StatesJune 16, 2023Pros: Surrounded by the best engineers, there's a lot to learn.Cons: It's been very chaotic since the layoffs.
- 2.0Perks But Poor ManagementMachine Learning Engineer • Former EmployeeSan Jose, California, United StatesMay 9, 2023Pros: the office perks whenever I did go in.Cons: No communication from leadership and poor management.
- 3.0Cool, but too unstableMachine Learning Engineer • Current EmployeeLondon, England, United KingdomNovember 21, 2022Pros: Great amenities, good work locations, amazing perks. The development culture is very open and light. There is a focus on producing impact, which is very nice.Cons: The ad market is very unstable, and things around the metaverse are crude at the moment.
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