Snap

The interview process for the ML position was pretty straightforward. It included a mix of machine learning fundamentals and algorithm/LeetCode-style coding questions. Overall, the interviewers were professional, and the process was well organized.

Two code interviews: Each round contains one hard and one medium code problem. One machine learning foundations. One machine learning system design. One behavioral question. Overall, the interviewers are all very nice!

One call with a member of the machine learning team. The interview was 60 minutes long, split into 30 minutes of coding exercises and 30 minutes of machine learning questions. There was no discussion on the role. The whole process felt just like a