Explain the guts of Shor's quantum factoring algorithm. (this sort of came up naturally, so we figured we'd discuss it together)
Research Scientist Machine Learning Interview Questions
134 research scientist machine learning interview questions shared by candidates
ML related implementation, start from scratch
Why MSE is not good for logistic regression?
What is Attention Mechanism and how does it work
He ask a rapid series of questions covering basic aspects of Machine Learning and Deep Learning. He also asked me to do an interactive coding question to identify basic metrics such median from streaming data.
Behavioral question. Then how would you design a spam filter. Then lots of questions on logistic regression, gradient descent, naive Bayes, etc. etc. Then a difficult coding question involving recursion.
Desciption of my project thesis. Questions related to thesis.
The first part, the interviewers knew the area of machine learning extensively, and they asked me lots of theoretical question. The second part, they gave me an example of research plans and asked me how to approach this problem. The third part, the coding was simple; the numerical sorting question in Python. They connected the video chat from a medium size of a conference room, therefore the sound quality was not good. It was difficult for me to listen to the question even using headphone.
Behavioral ones are drawn from their "leadership principles" and they ask you for examples from your experience. Not sure if those questions are pure bureaucracy or actually used for a decision. Lots of machine learning 101. Explain your past research projects. Whiteboard coding.
What kind of methods should be used if the clients need to interpret the features?
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