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.
Candidature
J'ai passé un entretien chez Amazon
Entretien
Online screening, including qualitative questions and then coding. The final set of interviews was four one-on-one, one-hour interviews with ML researchers in the team you might be hired into. Interviews were split into either coding, ML concepts, or how you would structure a project.
Questions d'entretien [1]
Question 1
How would you learn an ML model where you did not have many labels or was sparse
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.