Ask about past project experience, every detail, then fundamental machine learning knowledge, most related with how to do when different results after training, gradient descent, batch norm, optimization, acceleration, very applied and engineering, then a coding test.
Questions d'entretien [1]
Question 1
Explain gradient descent, batch norm, how to accelerate, how to parallel, how to change the batch size when parallel and how to save memory for running.
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.