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.
Situation where you had a disagreement with a colleague/boss? Situation where you had to take a risk where the end result was success/failure?
Text methods (latent, etc), he asked if I knew anything about these.
Asked about Ito's formula as stochastic calculus is on the resume, although it's totally unrelated to the job.
What is the difference between bagging and boosting?
How would you implement multi-arm bandits in the context of hotel recommendations?
Classification of emails using Machine Learning (asked to not use deep learning frameworks).
Non si possono divulgare le domande
related to Azure ML Pipelines and Machine Learning
Different types of parallelization used during training of ML models
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