Intro call with the recruiter followed by technical coding screen with current applied scientist that was about an hour. I believe the full process would have included a final round with about 3 more technical interviews. Also was told to review Amazon leadership principles and have anecdotes
Questions d'entretien [1]
Question 1
Grid search problem where the directions of movement were weighted with probabilities. Also asked about work/research experience and basic machine learning concepts.
J'ai postulé via un recruteur. J'ai passé un entretien chez Amazon (Seattle, WA) en juin 2026
Entretien
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
Questions d'entretien [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)
J'ai passé un entretien chez Amazon (Santa Monica, CA)
Entretien
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