Les candidats postulant à un poste comme Applied Scientist Intern chez Amazon attribuent un niveau de difficulté de 3 sur 5 (5 étant le niveau de difficulté le plus élevé) à leur expérience d’entretien et sont 100% à l’évaluer comme positive. À titre de comparaison, la moyenne pour l’ensemble de l’entreprise est de 62,1% d’avis positifs, d’après les évaluations Glassdoor.
Voici les rôles les plus recherchés pour les rapports d’entretien -
J'ai postulé via un établissement d'enseignement supérieur ou universitaire. Le processus a pris 2 semaines. J'ai passé un entretien chez Amazon (Seattle, WA) en janv. 2020
Entretien
Two phone calls. No coding interview. Mostly asking questions and opinions on model design and problem solving. After that, you will receive email notification on offer acceptance. The process is really nice and comfortable. However, I did not get offer since the field they are working is not matched to my research interests.
Questions d'entretien [1]
Question 1
Mostly, machine learning and deep learning basic knowledges especially BERT and other fine-tuning model.
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.