Process
There were two coding questions for the first round. The interviewer was rushed and did not offer an introduction, jumping right into the coding. He kept asking if I had seen the question before. When I said I had, he switched to the next question. He offered no hints and kept saying time was running out. When I got stuck on the first question, he asked to switch to the second question. The interview ended early.
Questions
LeetCode questions:
- Finding an exit in a maze
- Finding the largest number in a number stream
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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
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
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in United States.
Meta Work Experiences
- 3.0Remote Work, Mixed FeelingsMachine Learning Engineer • Former EmployeeSan Francisco, California, United StatesJune 2, 2023Pros: Nice people to work with. Position 100% remote.Cons: Didn’t get a great feel for the company. Was part of a mass layoff after less than a year of employment. I left a very good job for them, which was so disappointing. But I did receive a good exit package.
- 2.0Overhired and politicalMachine Learning Engineer • Former EmployeeLondon, England, United KingdomDecember 30, 2023Pros: Smart colleagues, great perks, superb offices.Cons: Overhired – not enough work for all the engineers. Consequently, it became political.
- 4.0Great learning experienceMachine Learning Engineer • Former EmployeeMenlo Park, California, United StatesMarch 23, 2023Pros: A fast-growing environment for high performers, with an open and transparent work culture.Cons: Too fast for medium/low performers.
Meta Interview Questions
