The process include four technical interviews. The interviews include general impression and in depth review past project, coding (leetcode or hacker rank style), academic paper understanding and ML questions from practice and theory.
Interview questions [1]
Question 1
How to design and implement object tracking system
Machine Learning Scientist applicants have rated the interview process at Snap with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 46.1% positive. This is according to Glassdoor user ratings.
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