2 rounds of interviews: one ML theory an one code. The ML was Basic theory questions (e.g. advantage of using Relu, explain Bert). The coding was an easy problem ( remove all numbers equal to a given value from an Array, in linear time, in place)
Applied Research Scientist Interview Questions
260 applied research scientist interview questions shared by candidates
Can you walk me through the process of building a machine learning model?
Given a generator of unbiased bernoulli numbers (0 or 1 with p=0.5), create a biased bernoulli trial generator (generate 0 or 1 with the specified 0 < p < 1)
Beschreiben Sie worum es in Ihrer Doktorarbeit ging?
There was a 1- a review of my past experience 2- the description of a difficult applied problem I was involved in 3- case study 4- a coding question (find the two highest numbers in a sequence)
Basic Data Science Question on Machine Learning and statistics
Mostly deep learning stuff. One ML design interview. One data structure problem on coder pad. Most of the interviews are focused on their principles.
Research experience and details for the projects
ML concepts. Questions regarding to my previous experience and open-ended case studies.
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.
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