I applied through an employee referral. I interviewed at Amazon
Interview
I was referred for the interview. So, The first step was a technical interview. They asked ML and Deep learning related questions for 30 mins and after that was live coding. I could not give the optimal solution, I just implemented the first solution that came to my mind and there was no time for improvement. As a result, I was rejected!
I applied through a recruiter. I interviewed at Amazon (Seattle, WA) in June 2026
Interview
This interview was for the Applied Scientist Position at Amazon. It was a Science breadth/Depth as well as 1 easy LC problem. After that did a full loop interview. 1 Science ML Breadth, 1 Science Depth, 1 Sys Design (Team-specific), 1 coding round and 1 Bar Raiser
Interview questions [1]
Question 1
Bias-Variance tradeoffs. Bagging Vs boosting. Modeling details in my project. Basic Statistical Questions. DSA: String compression problem.
1 HR round
4 technical interviews (coding+depth+breadth) of Machine Learning.
1 round to go into depth of my own projects.
1 round on general data science questions + system design (model a pipeline end-to-end for translating one set of multimodal objects to another language)
Two easy Leetcode problems, some ML coding problems and a lot of Leadership Principles talk. Overall average experience. A lot of middle managers not much room to innovate or take risks. Like working for the DMV