Machine Learning Scientist Interview Experience - London, United Kingdom
October 1, 2017
Positive ExperienceNo Offer
Process
A call with a recruiter describing all the different applications of machine learning Facebook is working on.
After this, they ask you to describe your skillset.
This is followed by a phone/video interview with a senior software developer.
I did not get passed this stage.
Questions
Find the k-th smallest element in a binary search tree.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Meta Machine Learning Scientist role in London, United Kingdom.
Success Rate
0%
Pass Rate
Meta's interview process for their Machine Learning Scientist roles in London, the United Kingdom is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for Meta's Machine Learning Scientist interview process in London, United Kingdom.
Meta Work Experiences
5.0
A great place if you want to work in a research-like environment
Machine Learning Scientist • Former Employee
October 8, 2023
Pros: The team consisted of like-minded people (PhDs in machine learning/statistics/mathematics/physics), so communication and collaboration is very similar to what you would typically have if you were in academia. The application process was also one of the best I have ever had. The HR was very responsive, and there are plenty of concrete, helpful preparation tips on their website.
Cons: I can't think of any major cons.
5.0
Good Pay, Culture; Needs Mgmt
Machine Learning Scientist • Former Employee
Los Angeles, California, United States
January 2, 2023
Pros: Good pay, food, and culture
Cons: Need better management.
Immigration process.
4.0
Back when it was still called Facebook
Software Engineering Manager • Former Employee
London, England, United Kingdom
November 11, 2025
Pros: Good leadership. Honestly, things are well thought out.
Cons: The company definitely overhired, like most in tech. It's slow. Bureaucracy has grown to a large point. The OKR planning cycles are 6-12 months. This is very big tech.
- 5.0A great place if you want to work in a research-like environmentMachine Learning Scientist • Former EmployeeOctober 8, 2023Pros: The team consisted of like-minded people (PhDs in machine learning/statistics/mathematics/physics), so communication and collaboration is very similar to what you would typically have if you were in academia. The application process was also one of the best I have ever had. The HR was very responsive, and there are plenty of concrete, helpful preparation tips on their website.Cons: I can't think of any major cons.
- 5.0Good Pay, Culture; Needs MgmtMachine Learning Scientist • Former EmployeeLos Angeles, California, United StatesJanuary 2, 2023Pros: Good pay, food, and cultureCons: Need better management. Immigration process.
- 4.0Back when it was still called FacebookSoftware Engineering Manager • Former EmployeeLondon, England, United KingdomNovember 11, 2025Pros: Good leadership. Honestly, things are well thought out.Cons: The company definitely overhired, like most in tech. It's slow. Bureaucracy has grown to a large point. The OKR planning cycles are 6-12 months. This is very big tech.
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