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.
Deep Learning Research Engineer Interview Questions
69 deep learning research engineer interview questions shared by candidates
Give a tensor with NxCxHxW, which dimension will BatchNorm try to normalize?
Where do you see yourself in 5 years?
Homework in the field of deep learning - a classicization of images. The training set is given in a different way, concatenated images with a common label - you need to find a way to separate the labels so that the model learns properly
About my research experiences.
Implement a CTC loss function from scratch as part of a fully functional ML model using PyTorch.
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.
How do you manage stress/work on a team? Tell us about your research. How would you approach this type of ML problem?
Describe your past experience in various fields related to the position.
How does batch normalization work in deep network training?
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