Machine Learning Engineer Interview Experience - London, United Kingdom
April 27, 2023
Positive ExperienceGot Offer
Process
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Recruiter found me.
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Live coding interview: A Meta employee will explain the coding challenge orally, requiring verbal conversation. This is different from other coding challenges where you read text.
Questions
Why do you choose Meta?
DFS challenge and counter in string.
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Interview Statistics
The following metrics were computed from 26 interview experiences for the Meta Machine Learning Engineer role in London, United Kingdom.
Success Rate
8%
Pass Rate
Meta's interview process for their Machine Learning Engineer roles in London, the United Kingdom is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive58%
Neutral23%
Negative19%
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in London, United Kingdom.
Meta Work Experiences
2.0
Very stressful and toxic environment
Machine Learning Engineer • Former Employee
March 15, 2023
Pros: - Great benefits
- Pay is better than the industry
- Interesting and challenging work
Cons: - Toxic culture where engineers are fighting with each other for scope and impact.
- Terrible work-life balance.
- Most of the managers are useless, and all the burden is on individual contributors.
5.0
Great Perks, Intense Culture
Machine Learning Engineer • Current Employee
Seattle, Washington, United States
February 3, 2025
Pros: Great perks, food on campus.
Cons: High performance culture every year
4.0
A great place to work; it is what you make of it
Machine Learning Engineer • Current Employee
May 10, 2024
Pros: Interesting work, a very impact-driven culture, and many bright and talented engineers.
Cons: Work-life balance can be an issue.
High churn.
- 2.0Very stressful and toxic environmentMachine Learning Engineer • Former EmployeeMarch 15, 2023Pros: - Great benefits - Pay is better than the industry - Interesting and challenging workCons: - Toxic culture where engineers are fighting with each other for scope and impact. - Terrible work-life balance. - Most of the managers are useless, and all the burden is on individual contributors.
- 5.0Great Perks, Intense CultureMachine Learning Engineer • Current EmployeeSeattle, Washington, United StatesFebruary 3, 2025Pros: Great perks, food on campus.Cons: High performance culture every year
- 4.0A great place to work; it is what you make of itMachine Learning Engineer • Current EmployeeMay 10, 2024Pros: Interesting work, a very impact-driven culture, and many bright and talented engineers.Cons: Work-life balance can be an issue. High churn.
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