The second round was with a senior engineer from the same team. it was a coding interview on CoderPad(the research team uses mostly python). 2 questions, first one is basically the implementation of the equivalent of scipy.stats.rv_discrete.
Perguntas de entrevista de Deep Learning Research Engineer
35 Perguntas de entrevista compartilhadas pelos candidatos | deep learning research engineer
Give a tensor with NxCxHxW, which dimension will BatchNorm try to normalize?
About my research experiences.
What are you hoping to achieve during your internship?
Describe your projects/publications/experiences How does your experience so far help you for this internship What kind of work do you like to do - theoretical or practical/applied? Task after the interview: Brainstorm some research ideas and send them to us in writing.
What does this python program do, what is its expected time complexity? (recursive implementation of a fibonacci program in python)
What is slicing? What is a generator?
Coding interview to code a limite problem.
Build an ML system from scratch in two hours on a dataset you haven't seen before on their servers. Tests for speed rather than quality of modeling/programming which I didn't like.
Describe your research project and specific topic you want to do in NVIDIA.
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