Machine Learning Engineer Interview Experience - San Francisco, California
Process
Great phone introduction. Easy question, easy rejection.
A phone interview to go through the process of the interview and how it works. Very nice recruiter.
A two-week practice for coding. (You can choose one day or more than two weeks!)
Then a coding interview. Recruiter on the phone, with a shared screen.
Questions
A code for the dot product of two sparse vectors.
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Interview Statistics
The following metrics were computed from 11 interview experiences for the Meta Machine Learning Engineer role in San Francisco, California.
Success Rate
Meta's interview process for their Machine Learning Engineer roles in San Francisco, California 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 San Francisco, California.
Meta Work Experiences
- 4.0Good Pay, Wfh, Limited DevelopmentMachine Learning Engineer • Former EmployeeSan Francisco, California, United StatesJuly 28, 2025Pros: Good pay, WFH, career advancement.Cons: I was the only non-Ph.D. on a fully Ph.D. team, which meant I worked on a lot of the ML implementation and productionization, versus model development.
- 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.
- 5.0Ideal Work, Limited ProjectsMachine Learning Engineer • Former EmployeeToronto, Ontario, CanadaFebruary 23, 2024Pros: Everything is good for cases.Cons: Not many jobs to do.
Meta Interview Questions
