Process
A recruiter reached out to me for an initial phone call.
They wanted to get to know what I am doing in my current position and my interests. Later, they scheduled a 45-minute technical coding interview over the phone.
Questions
Given two sets:
words = ["cat", "bat", "mat"] ordering = [c, b, a, t]
Return TRUE when the words in words[] are sorted lexicographically according to ordering[].
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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
- 4.0Good Pay, Varied WorkMachine Learning Engineer • Current EmployeeMenlo Park, California, United StatesOctober 20, 2024Pros: Good pay, can work on a variety of things.Cons: The scope is small as there are too many people.
- 5.0Energized Culture, Mature ProductsMachine Learning Engineer • Former EmployeeMenlo Park, California, United StatesAugust 18, 2024Pros: Good culture, energy, and work.Cons: Mature products, I guess, is a con.
- 5.0Great Experience, Slowed By Red TapeMachine Learning Engineer • Current EmployeeRemoteDecember 14, 2022Pros: Lots of opportunities for gaining experience.Cons: Too much red tape slows progress.
Meta Interview Questions
