Process
I was contacted by a recruiter for the position of machine learning engineer.
They told me that I would have a first code interview and showed me how I should prepare for it.
I prepared myself with LeetCode problems, but failed to get through this first interview.
This was in September of last year.
Questions
Cut berry bread into pieces, ensuring each piece has the same amount of berries.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Meta ML Engineer role in Chile.
Success Rate
0%
Pass Rate
Meta's interview process for their ML Engineer roles in Chile 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 Chile.
Meta Work Experiences
3.0
Ok place to work
ML Engineer • Former Employee
Seattle, Washington, United States
June 9, 2023
Pros: Very good benefits, interesting tasks, and growth of skills.
Cons: 2022-2023 layoffs created an unhealthy environment; probably a temporary thing, though.
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.
- 3.0Ok place to workML Engineer • Former EmployeeSeattle, Washington, United StatesJune 9, 2023Pros: Very good benefits, interesting tasks, and growth of skills.Cons: 2022-2023 layoffs created an unhealthy environment; probably a temporary thing, though.
- 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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