Process
It was a 5-round interview.
- Two rounds were technical.
- One round was system design.
- One round was theoretical.
- One round was behavioral.
One technical question was tedious. The idea was not hard, but the implementation needed a lot of tricks. The interviewer was not friendly. I felt like she herself didn't know the best approach.
The system design round was standard, but apparently the interviewer didn't like thinking outside the box. He only wanted to hear standard answers.
The theoretical round was ridiculous. I expected a deep and math-oriented discussion, but the interviewer only asked me to state my knowledge on RNN and CNN, which had nothing to do with any math at all.
I didn't learn anything new in the interview. Very disappointing.
Questions
In the system design round, the question was to design a pipeline for pushing ads on a YouTube-like platform.
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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
- 4.0Learn a lot in AdsMachine Learning Engineer • Current EmployeeNew York, New York, United StatesJune 27, 2025Pros: Work with really talented people on the team. Lot of work to be done (no in-team scope fighting).Cons: Getting stuff done can be tricky due to XFN teams owning products useful for submitting flows. A lot of pressure on impact. Ramp-up can be very difficult for an E5.
- 1.0SalaryMachine Learning Engineer • Former EmployeeFebruary 19, 2022Pros: Nothing at all, very unethical.Cons: Review your management because it's terrible.
- 5.0Hopefully, stocks go upMachine Learning Engineer • Current EmployeeJanuary 30, 2023Pros: Interesting projects, great compensation, and a nice tech stack.Cons: Work-life balance can be tough. Performance and standards can be tough.
Meta Interview Questions
