J'ai postulé via un recruteur. Le processus a pris 2 semaines. J'ai passé un entretien chez Amazon (Seattle, WA) en sept. 2025
Entretien
One applied scientist from Amazon interviewed me. She asked several questions from machine learning model, after that one data structure question involving time complexity questions. Later, I have asked 2 questions to her and she answered it.
Questions d'entretien [1]
Question 1
1. What are the evaluation metrics used for LLM evaluation?
2. How is LSTM different from Transformer architecture?
3. Why is RAG architecture used instead of fine-tuning LLM models?
4. How is BERT different from GPT model?
5. What will I do in case of imbalanced dataset?
6. How is linear regression different from logistic regression? What types of loss functions are used in each of these scenarios?
7. What is the task of dropout and activation function?
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.