Amazon Applied Scientist interview questions

I was referred by a friend and I went through one Phone Call and one On-Site (Virtual) interview. Phone call: 1 interviewer, one programming question (easy leetcode), few ML easy questions (bagging vs boosting, other supervised algorithms that I knew of, supervised vs unsupervised learning and my previous works) On-Site: 5 interviews with 5 different people. 3 interviews on my previous ML projects, general ML/Statistics questions, some questions about DL (both images and text). 1 programming interview and 1 based on LPs with manager.

The interview was composed of two rounds: 1) research phone call and 2) coding phone call. Research phone call was with the manager and we hit off pretty well with the interview, and the manager wanted to offer me the internship position. I didn't prepare much for the coding interview, as I was expecting a research role. This led to the second interviewer to decline me. Make sure to prep for both aspect of the job!