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.
Average interview
Application
I applied through university. I interviewed at Amazon in Sept 2021
Interview
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
Interview questions [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
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.