J'ai postulé via la recommandation d'un employé. Le processus a pris 4 semaines. J'ai passé un entretien chez Amazon (Cambridge, East of England, England) en janv. 2022
Entretien
We did a screening interview, a coding assessment, then a machine learning breadth and depth, and finally a behavioural interview based on the leadership principles of the company. The coding assessment was relatively easy for this Applied Scientist position.
Questions d'entretien [1]
Question 1
The coding assessment was an easy problem consisting of using a dictionary. On ML breadth and depth, I was posed with a problem and was asked for a solution, discussing data, modelling and evaluations. Interviewer would stop and ask me to go deep on whatever algorithmic solution I would propose (e.g. talk about attention mechanism in Transformers). The behavioural questions consisted of past situations in my working experience, where I should link what I did to the leadership principles of the company.
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.