Text methods (latent, etc), he asked if I knew anything about these.
Machine Learning Scientist Interview Questions
510 machine learning scientist interview questions shared by candidates
Describe an example where you had multiple alternatives to choose from for tools/approaches for a project. How did you go forward?
What is the difference between bagging and boosting?
Apart from questions about the past work the main focus in the interviews was about how to solve different bussiness problems with machine learning. I recommend to spend enough time on searching the information about the problems which Booking.com solves using machine learning during a preparation to an interview.
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Explain one project that you have been involved in detail. Big emphasis on the evaluation setup.
They just ask where you want to go, the languages you are familiar with. More technical questions on the skills interview, just trying to know how knowledgeable you are on ML techniques.
Classification of emails using Machine Learning (asked to not use deep learning frameworks).
related to Azure ML Pipelines and Machine Learning
Different types of parallelization used during training of ML models
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