J'ai postulé via la recommandation d'un employé. J'ai passé un entretien chez Amazon en oct. 2020
Entretien
I was referred by a friend and I went through one Phone Call and one On-Site (Virtual) interview.
Phone call: 1 interviewer, one programming question (easy leetcode), few ML easy questions (bagging vs boosting, other supervised algorithms that I knew of, supervised vs unsupervised learning and my previous works)
On-Site: 5 interviews with 5 different people. 3 interviews on my previous ML projects, general ML/Statistics questions, some questions about DL (both images and text). 1 programming interview and 1 based on LPs with manager.
Questions d'entretien [2]
Question 1
Describe a project you've worked on and you're proud of.
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.