Machine Learning Engineer Interview Experience - Los Angeles, California
Process
First, a phone screen on basic ML questions, starting from what a derivative is to what a convolution is.
Then, an onsite interview.
There were 4 rounds on machine learning and coding questions. The rounds went into depth on machine learning, both in design and as well as basics.
Questions
How to implement np.sum() along a given axis?
What to do if you have a lot of unlabeled samples and few labeled samples?
Design a neural network to take the maximum of two numbers.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Snap Machine Learning Engineer role in Los Angeles, California.
Success Rate
Snap's interview process for their Machine Learning Engineer roles in Los Angeles, 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 Los Angeles, California.
Snap Work Experiences
- 5.0It is okMachine Learning Engineer • Current EmployeeSeattle, Washington, United StatesMay 4, 2023Pros: Good pay until next year.Cons: Unclear future may not work.
- 5.0Overall, goodMachine Learning Engineer • Current EmployeeHerzliya, IsraelMarch 11, 2022Pros: Very including and great peopleCons: A bit underpaying and some issues with higher management.
- 3.0Great Talent, Poor LeadershipMachine Learning Engineer • Current EmployeeSanta Monica, California, United StatesMarch 8, 2023Pros: - Benefits and perks - Compensation - High density of great talentCons: - No vision - Lackluster and incompetent leadership - Bad WLB
Snap Interview Questions
