I applied for generic position ,
recruiter recommended Alexa team
I had really bad experience in my phone interview . Interviewer was from Alexa team
I have shared some of the questions that were asked and our conversation
question after the interview by me. can you tell what kind of projects are you working on. interviewer gave some vauge answer and asked to look at their publications
what is the difference between rnn and lstm. answer by me lstm has a extra forget Gate to implement rnn can't remember long context and theoritically lstms can remember all the relevant history even if it's very far away.
he said it's a vauge reply
then interview asked about demnishing gradients which I explained , and he asked lstm vs rnn which one handle the dimnishing gragient problem better. for which I replied lstm
to which he said you should have told this in lstm vs rnn
at this point I was really disappointed with his knowledge , tone and attitude . but what to do he was the interviewer
Applied for Amazon AGI. After first round, it will go into full round of multiple interviews. Lots of modern LLM training technic questions. There are still some behavioral questions, but less than general Amazon roles.
Interviewed with 1 phone screen, 1 coding, 2 ml design and 2 lp rounds. Most questions were non-leetcode questions more related to day to day ml implementations. The questions were very practical.
J'ai postulé en ligne. Le processus a pris 1 semaine. J'ai passé un entretien chez Amazon (Tokyo) en avr. 2026
Entretien
The interview for the Applied Scientist position primarily focused on three core components: technical questions regarding machine learning, a live coding assessment, and a detailed review of my professional experience.
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