Machine Learning Engineer Interview Experience - San Francisco, California
Process
The recruiter reached out and set up an interview time. The interviewer called in on time and used CoderPad.io to write the answer to the question.
I personally loved the usage of CoderPad because it has different code syntaxes and Vim integration.
Questions
Given a binary image, count the number of 4-directional connected components.
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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.
- 3.0Good Pay, Toxic CultureMachine Learning Engineer • Current EmployeeMenlo Park, California, United StatesMarch 23, 2025Pros: Total compensation package is good.Cons: Very toxic culture and it is getting worse.
Meta Interview Questions
