Le processus a pris 4 semaines. J'ai passé un entretien chez Amazon
Entretien
It was very smooth, even though there were some delays due to the other candidates' interviews management.
Two-step hiring process through video call:
- 1st one was related to behavioural and theoretical questions
- 2nd one was more coding and theory
There was another round actually: it was because I passed all the interviews, however there was no more space for the team I applied for (NLP). So they asked me if I wanted to reach a Manager of another team (ML).
Questions d'entretien [1]
Question 1
- How to handle difficult situations
- How to handle different opinions between colleagues
- How a CNN works
- How a RNN works
- Did you work with Transformers? What is Attention?
- Summary metrics for NLP
- CODING: Two sum but with multiplication actually
- How a BiLSTM works
- Metrics for regression
BONUS INTERVIEW WITH OTHER TEAM (more friendly)
-Bagging and boosting
-Forecasting example
-Computational difference between XGBoost and Random Forest
Phone screen interview
Then onsite interviews: 5 interviews two on coding and three on science and a tech talk
You choose a topic for the presentation
The science interviews are: one on science depth, one on science breath and one on science applications
Questions d'entretien [1]
Question 1
Question on optimizers; comparing gradient decent, adam optimizer etc
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.