J'ai postulé en ligne. Le processus a pris 1 semaine. J'ai passé un entretien chez Amazon (Seattle, WA) en sept. 2021
Entretien
I had 2 interviews in 2 consecutive days. The first one included a coding challenge (solved it in a short time then I was asked to provide a less complex solution) and a ML case study + 1 behavioral question. Second interview focused on ML questions and my research + 2 behavioral questions. The ML questions almost covered all the key words mentioned in my resume.
Questions d'entretien [1]
Question 1
what are transformers?
What are vision transformers?
what is the time complexity of the attention matrix?
what is the advantage of vision transformers over CNNs?
what is a ResNet?
what is data augmentation?
what are the preprocessing techniques?
How does YOLO work and whats's the cost function
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.