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
71 deep learning research engineer interview questions shared by candidates
Give a tensor with NxCxHxW, which dimension will BatchNorm try to normalize?
About my research experiences.
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
Implement CTC loss in python
What are you hoping to achieve during your internship?
Describe your past experience in various fields related to the position.
How do you manage stress/work on a team? Tell us about your research. How would you approach this type of ML problem?
How does batch normalization work in deep network training?
Viewing 1 - 10 interview questions
See Interview Questions for Similar Jobs
Deep Learning EngineerMl EngineerDeep Learning / Machine Learning ResearcherApplied Machine Learning EngineerMachine Learning ResearcherDeep Learning ScientistPython Machine Learning EngineerJunior Machine Learning EngineerApplied Machine Learning ResearcherAi Machine Learning EngineerMachine Learning EngineerArtificial Intelligence DeveloperArtificial Intelligence EngineerMachine Learning ConsultantApplied ScientistJr Data ScientistDeep Learning DeveloperData Science Engineer