J'ai postulé en ligne. Le processus a pris 3 mois. J'ai passé un entretien chez Amazon
Entretien
Long process around 3 months.
I applied online, a recruiter reached out soon after. The recruiters were friendly but they did'nt clearly explain the interview process. Attended remote interview with a bunch of amazonians every one was very focused on the leadership principal.
Questions d'entretien [1]
Question 1
1) A machine learning take home assignment . It was a prediction problem using simplest method.
2) Phone Interview with ML Scientist - Basic questions in ML
3) Onsite - 5 rounds of interview
Every round focuses on Behavioural questions. Amazon breathes these principals.
1) Presentation - about a project you recently worked on (be prepared to get grilled)
2) Algo and DS - Not what you typically expect. It was more of a design problem
3) ML Application - About a Amazon product design using ML
4) ML breadth - Questions to test on your ML expertise
5) ML coding - Focus is more on functional programming and less on ML.
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.