Machine Learning Engineer Interview Experience - United Kingdom
February 1, 2024
Neutral ExperienceNo Offer
Process
I was given a take-home coding challenge that I could start when I wanted, but it had a 90-minute time limit once I began. The challenge included multiple tasks, some of which were optional and progressively more difficult.
Questions
Implement part of a machine learning algorithm from scratch.
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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
4.0
Experience at Meta
Machine Learning Engineer • Current Employee
Menlo Park, California, United States
October 23, 2024
Pros: 1. Employees get to work on cutting-edge projects that influence billions of users worldwide, providing ample opportunities for growth and learning in groundbreaking fields.
2. Employees feel a strong sense of accomplishment knowing their work can have a direct impact on global communication, social interaction, and business.
3. Meta is known for offering high salaries, stock options, and comprehensive benefits packages.
Cons: 1. Work-Life Balance Challenges
2. Fast-paced environment.
5.0
Challenging But Rewarding Experience
Machine Learning Engineer • Current Employee
Montreal, Quebec, Canada
February 10, 2024
Pros: It was nice and I learned a lot.
Cons: A lot of pressure for deadlines and stuff.
5.0
Nice intern experience
Machine Learning Engineer • Former Employee
Seattle, Washington, United States
December 6, 2021
Pros: Big company with very good infrastructure.
Cons: Don't have enough communication because of remote work.
- 4.0Experience at MetaMachine Learning Engineer • Current EmployeeMenlo Park, California, United StatesOctober 23, 2024Pros: 1. Employees get to work on cutting-edge projects that influence billions of users worldwide, providing ample opportunities for growth and learning in groundbreaking fields. 2. Employees feel a strong sense of accomplishment knowing their work can have a direct impact on global communication, social interaction, and business. 3. Meta is known for offering high salaries, stock options, and comprehensive benefits packages.Cons: 1. Work-Life Balance Challenges 2. Fast-paced environment.
- 5.0Challenging But Rewarding ExperienceMachine Learning Engineer • Current EmployeeMontreal, Quebec, CanadaFebruary 10, 2024Pros: It was nice and I learned a lot.Cons: A lot of pressure for deadlines and stuff.
- 5.0Nice intern experienceMachine Learning Engineer • Former EmployeeSeattle, Washington, United StatesDecember 6, 2021Pros: Big company with very good infrastructure.Cons: Don't have enough communication because of remote work.
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