J'ai postulé en ligne. Le processus a pris 1 semaine. J'ai passé un entretien chez Amazon
Entretien
Got a call from recruiter and she set up two phone screens, one was a data scientist within the team and second one was with someone external. Both had PhDs
Questions d'entretien [1]
Question 1
The first interviewer spend maximum time on random forest algorithm and went into great detail. from bagging and boosting to gradient boosting techniques. He also spent quite some time with multiple linear regression problems. In the end there was one algorithm question.
The second interviewer asked about classification for imbalanced data sets and response rate of models. In the end there were few SQL questions. Both interviewers were super helpful and walked through their questions. From my experience i think they really want the candidate to succeed.
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.