J'ai postulé en ligne. Le processus a pris 3 semaines. J'ai passé un entretien chez Amazon (Cambridge, East of England, England) en mai 2024
Entretien
6 hour interview, including a 45 minute presentation of previous research (with 15min QA that didn't happen because there were no questions).
>50% on LP questions. Coding questions were done very weirdly, coding in a notepad, very open ended which made it difficult to understand what the interviewer actually wanted.
Interviewers forget about previous answers, multiple times I was asked something and said "we can do X and Y because (...), but if that is not possible then we can do Z" and the interviewer would say "oh, I think you could have done X as well".
After 6 hours of on-site interviews, on a friday, the recruiter asked to schedule a call with a message that said "would love to schedule" and "looking forward to talking to you", turns out it was just a rejection.
Questions d'entretien [1]
Question 1
Tell me a time where you thought you wouldn't be delivering a project on time.
... when the companies interest and the client interest were not aligned.
... when you had to ask for time/effort to do a deep dive on a techinical aspect.
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.