Process
A recruiter reached out to me via email and set up an initial coding interview. They provided a lot of helpful resources for it. An online tool was used for coding during a video call with the recruiter.
Questions
LeetCode Questions,
Medium to Hard Level
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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
11%
Pass 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
Positive53%
Neutral26%
Negative21%
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in United States.
Meta Work Experiences
3.0
Not worth going anymore
Machine Learning Engineer • Former Employee
Menlo Park, California, United States
June 9, 2025
Pros: relatively high pay
free food
Cons: toxic workplace
minimum work-life balance
reduced benefits
5.0
Great Pay, Long Hours
Machine Learning Engineer • Current Employee
Sydney, New South Wales, Australia
September 24, 2025
Pros: Good benefits and competitive salary.
Cons: Time spent on work is much.
3.0
Cool, but too unstable
Machine Learning Engineer • Current Employee
London, England, United Kingdom
November 21, 2022
Pros: Great amenities, good work locations, amazing perks.
The development culture is very open and light. There is a focus on producing impact, which is very nice.
Cons: The ad market is very unstable, and things around the metaverse are crude at the moment.
- 3.0Not worth going anymoreMachine Learning Engineer • Former EmployeeMenlo Park, California, United StatesJune 9, 2025Pros: relatively high pay free foodCons: toxic workplace minimum work-life balance reduced benefits
- 5.0Great Pay, Long HoursMachine Learning Engineer • Current EmployeeSydney, New South Wales, AustraliaSeptember 24, 2025Pros: Good benefits and competitive salary.Cons: Time spent on work is much.
- 3.0Cool, but too unstableMachine Learning Engineer • Current EmployeeLondon, England, United KingdomNovember 21, 2022Pros: Great amenities, good work locations, amazing perks. The development culture is very open and light. There is a focus on producing impact, which is very nice.Cons: The ad market is very unstable, and things around the metaverse are crude at the moment.
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