Machine Learning Engineer Interview Experience - London, United Kingdom
Process
The interview process begins with a technical screen, which often includes a greedy algorithm problem. This is followed by behavioral questions and take-home projects spread across four sections, typically completed within about two months.
Before the interview process begins, they provide nice and helpful resources for preparation through their recruiting portal.
Questions
How do you test your ML models for production scale?
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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
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
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in London, United Kingdom.
Meta Work Experiences
- 4.0A great team helps me improve my skills and deliver resultsMachine Learning Engineer • Current EmployeeOctober 3, 2022Pros: My manager and peers help me a lot, and I finally deliver much more than I expected.Cons: Only interns with very good performance can have return offers, which is not good.
- 4.0Learn a lot in AdsMachine Learning Engineer • Current EmployeeNew York, New York, United StatesJune 27, 2025Pros: Work with really talented people on the team. Lot of work to be done (no in-team scope fighting).Cons: Getting stuff done can be tricky due to XFN teams owning products useful for submitting flows. A lot of pressure on impact. Ramp-up can be very difficult for an E5.
- 5.0Energized Culture, Mature ProductsMachine Learning Engineer • Former EmployeeMenlo Park, California, United StatesAugust 18, 2024Pros: Good culture, energy, and work.Cons: Mature products, I guess, is a con.
Meta Interview Questions
