behavioral questions. leadership principle questions.
Applied Scientist Interview Questions
1,182 applied scientist interview questions shared by candidates
The coding assessment was an easy problem consisting of using a dictionary. On ML breadth and depth, I was posed with a problem and was asked for a solution, discussing data, modelling and evaluations. Interviewer would stop and ask me to go deep on whatever algorithmic solution I would propose (e.g. talk about attention mechanism in Transformers). The behavioural questions consisted of past situations in my working experience, where I should link what I did to the leadership principles of the company.
Explain support vector machines, what is the slack?
implement a balance loader data structure
Technical rounds were on ML, and previous project experience. It involved basics of transformer, and understanding of each function. ‘If you have a task where order of words/ tokens didn’t matter, how would you train for it?’
What is t-sne? How is it different from PCA?
Explain transformer architecture and everything inside
One coding question based on DFS
On site consisted of five sessions. Coding, behavioral, ML design, general ML, in-depth ML. One interesting thing is that behavioral questions were also been asked in coding or other sessions. Coding question was about Trie with medium difficulty. General ML questions requested me to explain ML algorithms which I have used in the work. And gave me simple example problem and asked how to solve (which algoithm).
Overfitting, Image Matching, Reverse LinkedList
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