Process
This was the first screen interview. The recruiter contacted me and spoke about the position and various teams. They provided details of the entire hiring process. Then, I was asked to schedule a date and time for the first phone screen technical interview.
Questions
Given two sparse matrices, how would you compute the dot product?
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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
2.0
Overhired and political
Machine Learning Engineer • Former Employee
London, England, United Kingdom
December 30, 2023
Pros: Smart colleagues, great perks, superb offices.
Cons: Overhired – not enough work for all the engineers. Consequently, it became political.
5.0
Energized Culture, Mature Products
Machine Learning Engineer • Former Employee
Menlo Park, California, United States
August 18, 2024
Pros: Good culture, energy, and work.
Cons: Mature products, I guess, is a con.
4.0
Great, with a few downsides
Machine Learning Engineer • Former Employee
August 3, 2020
Pros: A great company that is growing very quickly.
Cons: A rather tense environment with management.
- 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.
- 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.
- 4.0Great, with a few downsidesMachine Learning Engineer • Former EmployeeAugust 3, 2020Pros: A great company that is growing very quickly.Cons: A rather tense environment with management.
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