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. J'ai passé un entretien chez Amazon en sept. 2021
Entretien
Applied through college, first round was DSA and coding interview followed by a ML interview.
In the DSA I was asked to coding questions and 4-5 questions on implementation of some data structures
The ML round involved discussion on projects mentioned in resume and required in depth knowledge of the key concepts
Questions d'entretien [1]
Question 1
In the DSA I was asked to coding questions and 4-5 questions on implementation of some data structures
The ML round involved discussion on projects mentioned in resume and required in depth knowledge of the key concepts
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.