ML Engineer Interview Experience - San Francisco, California
May 1, 2025
Positive ExperienceNo Offer
Process
Good recruiters guided me through the whole process. I made it to the final round.
My System Design interviewer was about 20 minutes late to the interview.
- Screener coding interview
- System design, behavioral, and two coding interviews
Questions
What is something your manager told you that you need to change personally?
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Interview Statistics
The following metrics were computed from 2 interview experiences for the Meta ML Engineer role in San Francisco, California.
Success Rate
0%
Pass Rate
Meta's interview process for their ML Engineer roles in San Francisco, California is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for Meta's ML Engineer interview process in San Francisco, California.
Meta Work Experiences
4.0
Valuable Equity, High Stress
ML Engineer • Current Employee
San Francisco, California, United States
July 16, 2025
Pros: No scrum meetings. Loved the equity.
Cons: Constant fear of layoffs. Stress.
5.0
Good Pay, High Stress
ML Engineer • Current Employee
London, England, United Kingdom
August 22, 2025
Pros: Good salary; nice location of office.
Cons: Overtime at work; release pressure.
5.0
Great place to work
ML Engineer • Current Employee
Vancouver, British Columbia, Canada
August 12, 2025
Pros: Smart people, good leadership, and lots of data.
Cons: Not the best impact on the world.
- 4.0Valuable Equity, High StressML Engineer • Current EmployeeSan Francisco, California, United StatesJuly 16, 2025Pros: No scrum meetings. Loved the equity.Cons: Constant fear of layoffs. Stress.
- 5.0Good Pay, High StressML Engineer • Current EmployeeLondon, England, United KingdomAugust 22, 2025Pros: Good salary; nice location of office.Cons: Overtime at work; release pressure.
- 5.0Great place to workML Engineer • Current EmployeeVancouver, British Columbia, CanadaAugust 12, 2025Pros: Smart people, good leadership, and lots of data.Cons: Not the best impact on the world.
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