Process
Quick, complex, and exhaustive.
There were:
- Two coding sections
- One ML design section
- Two behavioral interview sections
- One big system design section
On the coding sections, it was necessary to solve two medium (LeetCode) coding problems.
Questions
ML Design:
System to detect malicious content on an online market.
Big System Design:
Design a chat for a billion users.
Coding Section:
Medium tasks from LeetCode.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Meta ML Engineer role in Moscow, Russia.
Success Rate
0%
Pass Rate
Meta's interview process for their ML Engineer roles in Moscow, Russia 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 Moscow, Russia.
Meta Work Experiences
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.
4.0
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.
- 5.0Good 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.
- 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.
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