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.
Oferta aceita
Experiência positiva
Entrevista com nível médio de dificuldade
Candidatura
Candidatei-me por indicação de um funcionário. O processo levou 3 semanas. Fui entrevistado pela Amazon (Sunnyvale, CA) em mar. de 2022
Entrevista
There were two technical interviews. The first one was pure machine learning, from basics until a case study. The second interview had first a medium leet question, then research discussion.
Perguntas de entrevista [1]
Pergunta 1
ML/DL concepts, batch normalization, how does it work? Supervised/unsupervised learning, regularization, talked through a case study, how to solve such a case, what are the challenges, available tools and methods to solve the problem.
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.
