Machine Learning Engineer Interview Experience - United Kingdom
March 22, 2024
Negative ExperienceNo Offer
Process
Initial online screening call with internal recruiter.
I don’t know about later stages as I dropped from the process.
It seems like it’s a very long process with lots of interviews.
Didn’t feel like going through it.
Questions
Tell me about yourself and your previous experience.
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Interview Statistics
The following metrics were computed from 29 interview experiences for the Meta Machine Learning Engineer role in United Kingdom.
Success Rate
7%
Pass Rate
Meta's interview process for their Machine Learning Engineer roles in the United Kingdom is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive52%
Neutral28%
Negative21%
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in 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
Good place to work, Low WLB
Machine Learning Engineer • Current Employee
New York, New York, United States
May 18, 2024
Pros: Nice comp, good project scope.
Cons: Low WLB, pretty stressful evaluation cycle.
5.0
Fast Pace, Great Peers
Machine Learning Engineer • Current Employee
San Jose, California, United States
February 5, 2021
Pros: Peers are good. Move fast.
Cons: Work-life balance is not good.
- 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.
- 5.0Good place to work, Low WLBMachine Learning Engineer • Current EmployeeNew York, New York, United StatesMay 18, 2024Pros: Nice comp, good project scope.Cons: Low WLB, pretty stressful evaluation cycle.
- 5.0Fast Pace, Great PeersMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesFebruary 5, 2021Pros: Peers are good. Move fast.Cons: Work-life balance is not good.
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