Software Engineer - Machine Learning Interview Experience - London, United Kingdom
September 1, 2022
Positive ExperienceNo Offer
Process
1 coding interview, then a "remote onsite" with:
- 2 coding interviews (problems to solve in a language of your choice)
- 1 behavioural interview
- 1 ML architecture interview
Questions
Calculate the depth sum of a nested array.
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Interview Statistics
The following metrics were computed from 4 interview experiences for the Meta Software Engineer - Machine Learning role in London, United Kingdom.
Success Rate
0%
Pass Rate
Meta's interview process for their Software Engineer - Machine Learning roles in London, the United Kingdom is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive75%
Neutral25%
Negative0%
Candidates reported having very good feelings for Meta's Software Engineer - Machine Learning interview process in London, United Kingdom.
Meta Work Experiences
5.0
My Experience at Meta
Software Engineer - Machine Learning • Current Employee
October 21, 2022
Pros: A lot of autonomy, amazing colleagues.
Cons: Work stress is very high.
4.0
Good Pay, Smart People, Poor Balance
Software Engineer - Machine Learning • Current Employee
Sunnyvale, California, United States
August 24, 2022
Pros: Good compensation, smart people, and good food.
Cons: Bad work-life balance, crowded meetings.
3.0
PSC is stressful
Software Engineer - Machine Learning • Current Employee
San Francisco, California, United States
April 29, 2025
Pros: Top of market pay, and it seems like people who work here do care about the money.
Cons: As an MLE, delivery impact each half is stressful and unrealistic. PERM's high failure rate is hard for H1B holders.
- 5.0My Experience at MetaSoftware Engineer - Machine Learning • Current EmployeeOctober 21, 2022Pros: A lot of autonomy, amazing colleagues.Cons: Work stress is very high.
- 4.0Good Pay, Smart People, Poor BalanceSoftware Engineer - Machine Learning • Current EmployeeSunnyvale, California, United StatesAugust 24, 2022Pros: Good compensation, smart people, and good food.Cons: Bad work-life balance, crowded meetings.
- 3.0PSC is stressfulSoftware Engineer - Machine Learning • Current EmployeeSan Francisco, California, United StatesApril 29, 2025Pros: Top of market pay, and it seems like people who work here do care about the money.Cons: As an MLE, delivery impact each half is stressful and unrealistic. PERM's high failure rate is hard for H1B holders.
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