Popular ML components like LSTMs, Transformers, CNN etc. Building ML models in the context of speech recognition/NLP and advantages or shortcomings of each approach. These have to all be addressed while building an ML pipeline. Know your own projects in detail and why certain models were used vs. others
Typical questions about your background
Why did you apply for the company?
Two coding tests on HireEve and one behavioral question.
Two medium level coding questions. One problem is finding the shortest path out of the maze, I forgot the other one.
Given a case find the solution
1) How do you think data science is different from traditional statistics? 2) Can you tell me about a time when you had to work with someone who is very difficult to work with?
What problems you have met and how did you solve it?
Explain a machine learning algorithm that you you in any of your projects.
Coding problem on the class methods implementations with follow-up tasks
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