Round 1: Basic Data Structures and Algorithms questions.
Round 2: ML and resume related question, and some additional questions for checking depth of the topics which you have mentioned in resume
Perguntas de entrevista [1]
Pergunta 1
Zig-zag traversal of tree, time and space complexity. What is better to use tree of graph in such case. Difference between BERT and LSTM and which will be faster
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.