I applied through an employee referral. I interviewed at Amazon (Washington, DC) in Oct 2020
Interview
There are in total 6 interview sessions, including (1) job talk, (2) ML breadth, (2) ML in-depth, (3) BQ, (4) coding, (5) project deep dive. I don't know what else to say, just typing here to meet the 30-word minimum requirement.
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