J'ai postulé via un recruteur. J'ai passé un entretien chez Amazon (Seattle, WA) en mai 2026
Entretien
The process started with a technical phone screen, followed by four back-to-back rounds. The first two technical rounds focused on ML breadth and ML depth respectively, while the later rounds focused more on system design, agentic product thinking, and behavioral examples.
Questions d'entretien [1]
Question 1
Design an agentic recommendation system. How would you structure the system, what models or components would you use, and how would you evaluate its quality and safety?
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)