1st round technical assessment, including questions about machine learning and coding skill test. One hour, one interviewer. 5 minutes introduction and 25 minutes question section, and 30 minutes coding test
Interview questions [1]
Question 1
explain random forest, metrics of logistic regression
Ask about past project experience, every detail, then fundamental machine learning knowledge, most related with how to do when different results after training, gradient descent, batch norm, optimization, acceleration, very applied and engineering, then a coding test.
Interview questions [1]
Question 1
Explain gradient descent, batch norm, how to accelerate, how to parallel, how to change the batch size when parallel and how to save memory for running.
An one hour interview with two problems for which I had to propose machine learning algorithms as solutions, and to motivate my choices. There was also a discussion about my experience in domain. It was overall ok
Interview questions [1]
Question 1
Propose ML methods for two real-world use cases presented by the interviewer, it also involved a live-coding challenge and additional ML-related theoretical questions