Ho presentato la mia candidatura tramite segnalazione di un dipendente. Ho sostenuto un colloquio presso Amazon
Colloquio
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!
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
