During technical interview: What are the domains of Machine Learning? What do you know about Statistical Learning Theory? Why are you interested in Deep Learning (I had applied for Deep Learning vacancy)? What are SVMs (he spent a lot of time on SVMs)? Why are they better than NNs and why are they worse? What is Backpropagation in NNs? Why is Deep Learning emerging only now? What are types of NNs? What is the difference in backprop between RNN and ANN? Do you know OOP? What is inheritance? What is multiple inheritance? What are its problems and how do you solve it? Are you familiar with Scrum?