Ho presentato la mia candidatura tramite segnalazione di un dipendente. Ho sostenuto un colloquio presso Amazon (Washington, DC) nel mese di ott 2020
Colloquio
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.
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