- Pandas: data cleaning exercise - Numpy: 2d array manipulation (rotations, etc) - SQL: not easy if you haven't done those kind of exercises in sql before. Bus and passengers exercise.
Senior Machine Learning Engineer Interview Questions
619 senior machine learning engineer interview questions shared by candidates
C++ fundamentals
A basic coding exercise and a basic machine learning exercise.
Where do you want to be in 5 years from now? What would you change in your next job relative to your last/current one? Why do you want to work for 12traits? You have to train an unsupervised model (e.g. clustering). How do you assess if you assigned the most correct labels to observations without pre-labeled data at hand?
What is the difference between a standard convolutional neural network and the U-Net CNN?
They explained the technology and asked for general thoughts on the approach.
Questions were mostly about previous work experience and projects, but the higher emphasis was given to behaviour and cultural fit.
Questions were broadly one of three types: 1) Technical design and model questions about the take home assessment 2) General technical questions about ML and software engineering 3) Behavioral questions. One example of a behavioral question was "Why are you interested in finding a new role currently?"
Tell me more about your project X from your resume? How would you improve customer retention with emailing/notifications from our app?
Python and SQL multiple choice quizzes, hackerrank python plus non-hackerrank SQL reporting problems
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