Machine Learning Engineer Interview Experience - London, United Kingdom
Process
The interview process has 6-7 stages.
It begins with an HR initial chat to discuss your experience.
This is followed by an ML discussion about how ML models work, including a coding exercise. Subsequently, there are more coding and ML theory questions, along with ML system design questions.
The coding aspect is less about LeetCode problems and more focused on ML coding using NumPy.
Questions
Tell me about an ML project you have worked on that you found interesting and why.
Was this helpful?
Interview Statistics
The following metrics were computed from 4 interview experiences for the Snap Machine Learning Engineer role in London, United Kingdom.
Success Rate
Snap's interview process for their Machine Learning Engineer roles in London, the United Kingdom is very selective, failing most engineers who go through it.
Experience Rating
Candidates reported having mixed feelings for Snap's Machine Learning Engineer interview process in London, United Kingdom.
Snap Work Experiences
- 5.0Good compensation and work-life balance, limited growth opportunitiesMachine Learning Engineer • Current EmployeeLos Angeles, CAMay 27, 2026Pros: Good compensation, good work-life balance, and smart and kind people.Cons: Career growth is not exactly there.
- 1.0Lays you off. Rehires less qualified individuals for hire salary. Colleagues split your equityMachine Learning Engineer • Former EmployeeJune 20, 2023Pros: You have the opportunity to work (for those who will later eat your lunch).Cons: It’s a dog-eat-dog world. Not much to go around; you could be next.
- 5.0It is okMachine Learning Engineer • Current EmployeeSeattle, Washington, United StatesMay 4, 2023Pros: Good pay until next year.Cons: Unclear future may not work.
Snap Interview Questions
