I had 3 rounds. The first was with a member of the team, where I explained my research and elaborated on technical details to demonstrate my understanding of comp bio/ML. The second round was a coding round where they asked me to code k-means from scratch. They also asked me technical ML questions. Third round was with the director, and it focused a lot on biological interpretation of ML concepts in bionformatic methods.
Interview questions [1]
Question 1
Which ensemble learning method, random forest or gradient boosting, has more bias and which one has more variance?
Applied Research Scientist Intern Digital Biology applicants have rated the interview process at NVIDIA with 4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 58.2% positive. This is according to Glassdoor user ratings.
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