Process
After an internal referral, a recruiter contacted me to have two phone interviews.
The first phone interview went smoothly with a binary tree path problem and a search problem.
The second phone interview was okay, featuring a sorting problem and a random sampling problem.
Overall, the questions were easy to medium coding level, but demanded high accuracy and a solid background in basic data structures and algorithms.
Questions
A binary tree path problem and a search problem.
A sorting problem and a random sampling problem.
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Interview Statistics
The following metrics were computed from 4 interview experiences for the Meta Machine Learning role in United States.
Success Rate
Meta's interview process for their Machine Learning roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very negative feelings for Meta's Machine Learning interview process in United States.
Meta Work Experiences
- 3.0Fast Work, Peer PressureSoftware Engineer (Contractor) • Former EmployeeRemoteDecember 9, 2022Pros: Good internal tools, fast working process.Cons: Too much peer pressure. Remote contractors have no access to the campus.
- 5.0Lots of opportunitySoftware Engineer • Current EmployeeRemoteDecember 17, 2022Pros: Impact on billions of peopleCons: Always being in the news
- 3.0Perks are greatSenior Software Engineer • Current EmployeeRemoteDecember 9, 2022Pros: Perks are great, but working from home is totally different than being in-office, obviously. It's difficult to say exactly how much it's worth it.Cons: Job satisfaction isn't all that great.
Meta Interview Questions
