It had two rounds.
The first one was phone screen. It contained questions around projects in your CV and understanding of the current topics.
The second was a technical interview which contained two coding questions in python. The first question was easy, but the second was average on difficulty level.
Interview questions [1]
Question 1
What are the techniques would you use so that the graph-CNNs scale well?
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.