Machine Learning Engineer Interview Experience - Santa Clara, California
Process
Technical rounds included a math quiz, a computer vision quiz, a software engineering quiz, and an ML quiz.
The 3D math problems were hard and hardcore.
Questions were asked about GAN and diffusion models.
The ML quiz covered ML basics; it felt like being scored against a list of standard answers.
Questions
How to formulate a random 3D rotation matrix?
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Interview Statistics
The following metrics were computed from 1 interview experience for the Snap Machine Learning Engineer role in Santa Clara, California.
Success Rate
Snap's interview process for their Machine Learning Engineer roles in Santa Clara, California is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very good feelings for Snap's Machine Learning Engineer interview process in Santa Clara, California.
Snap Work Experiences
- 3.0Decent pay and work-life balance, but poor leadershipMachine Learning Engineer • Current EmployeeSeattle, WAMay 29, 2026Pros: The pay was okay, there was a good WLB, and the culture was okay.Cons: No direction, bad leadership overall.
- 5.0Awesome place to workMachine Learning Engineer • Current EmployeeDecember 8, 2022Pros: Some of the best people I've worked with, definitely one of the best tech.Cons: Work-life balance is sometimes not at its best.
- 2.0Worst leadership in the industryMachine Learning Engineer • Current EmployeeFebruary 9, 2024Pros: Engineers are smart and kind.Cons: CEO/leadership is terrible. Quarterly review is nonsense.
Snap Interview Questions
