Machine Learning Engineer Interview Experience - London, United Kingdom
July 1, 2024
Positive ExperienceNo Offer
Process
The process is classic:
- HR interview
- First Turn: Coding interview
- Second Turn: 2x Coding Interviews, 1 ML System Design, 1 Behavioral
Then review by a committee. In my case, I had to do another coding interview because they were not sure.
Questions
Design a Recommendation System for Facebook Ads. Do the process step by step and justify your choices.
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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
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
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.
5.0
n/a
Machine Learning Engineer • Current Employee
October 10, 2023
Pros: Move fast and fail fast.
Cons: Lack of planning sometimes. Some managers are not mature enough to be a good lead.
- 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
- 5.0Fast 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.
- 5.0n/aMachine Learning Engineer • Current EmployeeOctober 10, 2023Pros: Move fast and fail fast.Cons: Lack of planning sometimes. Some managers are not mature enough to be a good lead.
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