Senior machine learning scientist sollicitatievragen
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Sollicitatievragen voor Senior Machine Learning Scientist gedeeld door sollicitantenMeest gestelde sollicitatievragen
1- Machine Learning concepts 2- Data Structure Case Study (Very easy) 3- Coding (Easy but they need hands-on exp) And Finally, Leadership (14 principles)
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There is no right answer except for conceptual one. They need you to be natural and be good in what you do. I would suggest to do following: 1- Leadership 2- Coding 3- ML concepts Minder
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Forgot to add, my feedback was mixed saying I need more Machine Learning knowledge (which I disagree) and hands-on coding (which killed my interview)! Minder
we discussed mainly my background and some of the works I did, but she was not able to understand most of them. She was constantly interrupting me and trying to change the subject. The part that really got in her nerve was when I did not know what is 'original content". She explained that she means shows like "Orange is the new black", etc. which I do not watch. It was completely incomprehensible for her that some people may spend their time reading papers, or help their church high school kids instead watching fictional stories about women in prison.
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If you want to pass the initial phone screen, make sure you know what is "original content" ! Minder
After you have decided which features to use, describe the process of constructing feature-vectors
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It was almost all about tf-idf vectorizer
Given a bag of n blue and m red marbles, what's the expected number of draws until you get a blue marble?
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Useful tips: model probability of failure rather than success.
Programming on whiteboard: Efficiently compute the inner product of two sparse vectors.
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Use a hash map for the vectors and then traverse the the hashmap with the fewest number of nonzero entries whilst performing matching lookups on the other array. Minder
ML product architecture: How would you implement a computer vision ML product?
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This was mostly a discussion, with the aim to see if the candidate would ask relevant questions. For instance, what do we want to predict/automate, what is a data point and how is collected/generated, etc. Minder
How do you implement feature selection in text classification?
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Mutual information / chi-squared criteria
Machine learning and NLP concepts.