Me postulé a través de una recomendación de un empleado. Acudí a una entrevista en Amazon (New York, NY) en feb 2022
Entrevista
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.
Preguntas de entrevista [1]
Pregunta 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.
Me postulé a través de un reclutador. Acudí a una entrevista en Amazon (Seattle, WA) en jun 2026
Entrevista
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
Preguntas de entrevista [1]
Pregunta 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)
Acudí a una entrevista en Amazon (Santa Monica, CA)
Entrevista
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