J'ai postulé via la recommandation d'un employé. Le processus a pris 2 semaines. J'ai passé un entretien chez Amazon en avr. 2020
Entretien
Got referred by a friend, the manager expressed interest and scheduled an interview for me although I specifically said I don't know SQL and it was a requirement for the application. However didn't get asked about it as I was promised.
Questions d'entretien [6]
Question 1
Explain ICA, and CCA. How do you get to CCA objective function from PCA.
What is "random" in random forrest? Data, features etc. If you use a logistic regression instead of a decision tree in random forrest how will your results change? What is bagging explain with all the details.
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.