J'ai postulé via la recommandation d'un employé. Le processus a pris 2 mois. J'ai passé un entretien chez Amazon en sept. 2022
Entretien
My interview process include: 1 phone interview (ML+coding+BQ), Virtual onsite which includes 1 presentation, 5 rounds of interviews (ML + coding + BQ); Behavioral questions based on leadership principals are very important, basically every interview session has BQ questions;
Questions d'entretien [1]
Question 1
ML questions cover topics such as data imbalance, collinearity, feature selection, linear regression, logistic regression, L1/L2 norm regularization;
ML application question -- how would you design a recommendation system that recommend books to users;
Phone screen interview
Then onsite interviews: 5 interviews two on coding and three on science and a tech talk
You choose a topic for the presentation
The science interviews are: one on science depth, one on science breath and one on science applications
Questions d'entretien [1]
Question 1
Question on optimizers; comparing gradient decent, adam optimizer etc
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.