Software Engineer - Machine Learning Interview Experience - London, United Kingdom
December 1, 2019
Positive ExperienceNo Offer
Process
Overall, the process is quite smooth:
- First interview with HR: Basic questions on experience. After the interview, HR sends prep materials for the next stages (Coding, System Design, Machine Learning Design, Behavioural).
- Online coding interview: You are asked to solve 2 problems in under 1 hour.
- Onsite interviews:
- 2x Coding: Solve two problems in under 1 hour.
- System Design: Discuss an imaginable service and how to build it.
- Machine Learning Design: Design an ML solution.
- Behavioural: General questions on experience and how you work with peers.
Questions
Q: How would you design a news recommender system for Facebook?
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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
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.
4.0
Good for new grads
Software Engineer - Machine Learning • Current Employee
Seattle, Washington, United States
August 27, 2020
Pros: Compensation, learning speed, team members.
Cons: No work-life balance, frequent reorgs.
4.0
Great Place to Work, but Stressful
Software Engineer - Machine Learning • Current Employee
New York, New York, United States
September 7, 2020
Pros: Good pay, interesting work, good people
Cons: Bad work-life balance, competitive, and chaotic.
- 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.
- 4.0Good for new gradsSoftware Engineer - Machine Learning • Current EmployeeSeattle, Washington, United StatesAugust 27, 2020Pros: Compensation, learning speed, team members.Cons: No work-life balance, frequent reorgs.
- 4.0Great Place to Work, but StressfulSoftware Engineer - Machine Learning • Current EmployeeNew York, New York, United StatesSeptember 7, 2020Pros: Good pay, interesting work, good peopleCons: Bad work-life balance, competitive, and chaotic.
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