Machine Learning Engineer Interview Experience - San Francisco, California
Process
The interview consisted of:
- Two coding interviews
- One system design interview
- One computer vision interview
- One ML interview
- One manager interview
Coding interviews were pretty straightforward, similar to questions found on LeetCode. The ML interview consisted of open-ended questions about ML business cases at Facebook. The system design interview featured a question about designing an autocomplete service.
Questions
System design interview: Design an autocomplete service.
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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
- 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.
- 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.
- 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.
Meta Interview Questions
