Ho presentato la mia candidatura tramite segnalazione di un dipendente. Ho sostenuto un colloquio presso Amazon (New York, NY) nel mese di feb 2022
Colloquio
Applied through a LinkedIn connection. I refused to interview with them several times, so it took several months. The phone screen was very reasonable. They asked about basic ML stuff and then a simple question on binary trees. Final interview was not that difficult, but I didn't have a lot of experience with deep learning, so I got rejected.
Domande di colloquio [1]
Domanda 1
Mostly deep learning stuff. One ML design interview. One data structure problem on coder pad. Most of the interviews are focused on their principles.
Ho presentato la mia candidatura tramite un selezionatore. Ho sostenuto un colloquio presso Amazon (Seattle, WA) nel mese di giu 2026
Colloquio
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
Domande di colloquio [1]
Domanda 1
Bias-Variance tradeoffs. Bagging Vs boosting. Modeling details in my project. Basic Statistical Questions. DSA: String compression problem.
Ho sostenuto un colloquio presso Amazon (Hyderabad)
Colloquio
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)
Ho sostenuto un colloquio presso Amazon (Santa Monica, CA)
Colloquio
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