Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto 2 mesi. Ho sostenuto un colloquio presso Amazon (Berlino)
Colloquio
Standard for Big tech companies, two interviews, one for coding and general knowledge of Data Science and ML and the second one more in depth and related with the role + Amazon Leadership Principles
Domande di colloquio [1]
Domanda 1
Two phases:
------- General ML phase + code -------
General questions about ML:
* Logistic Regression
* Unbalanced binary classification problema
* Metrics for Information Retrieval
....
+ Coding problem in front of engineer, leetcode medium level and discuss computational complexity of the proposed solution (time and space).
------- ML in depth + Amazon Leadership Principles-------
(Based on the roles, mine was NLP)
* The transformer model
* Multihead attention
* BERT and RoBERTa
+ STAR format questions about the ALP.
I was asked basic knowledge in deep learning and machine learning. Also had time of explaining my research. discussed how I can apply my research to the current project. Transformer architecture, bias-var tradeoff, use of positional encoding, long-term dependencies.
HackerRank assessment with solid, fair questions. Communication with the recruiting team was clear and professional throughout the process. I was invited to two additional interviews, one focused on research depth and the other on coding skills.
One phone screen on LeetCode-style medium coding question plus behavioral questions. One loop of three back to back interviews including one round of coding, two rounds of research plus behavioral questions.
Le migliori aziende per "stipendio e benefit" vicino a te
