Most interviews were technical. First interview was high-level algorithmic question about designing an algo to find closest point in 2D map with limited informations, and to reason on the complexity of the algo I come up with.
Machine Learning Interviews
Machine Learning Interview Questions
"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."
8,203 machine learning interview questions shared by candidates
Personality related stuff (standard wonderlic assesment)
They asked basic question on machine learning and deep learning like regression, svm, dropout etc.
What is LoRA? Explain back-propagation? What is the variance bias tradeoff?
Questions: What project are you most proud of? Any experience designing Deep Neural Networks? Any experience replicating published results ?
Would you be able to relocate?
How do you keep yourself up to date on the latest developments in technology?
Explain the data set that you used.
Question about Python OOP concepts. Questions on Python methods.
Mostly about my prior experience. Case study of machine learning model deployment.
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