BI: General 3 BQs PSI: A business scenario with some general problem-solving questions and a code question. RI: Old fashion industrial related feature engineering questions. EI: Machine learning model engineering
Applied Research Interview Questions
518 applied research interview questions shared by candidates
The technical round with research scientist. I was asked some research questions on diffusion policy, RL algorithms, adv and disadvantages of different types of action space in manipulation. How to go beyond data scaling? And few more questions on manipulation and mobile manipulation state of arm algo.
Find the median of a large-scale dataset (without sorting).
I signed an nda. Basic coding & ML questions.
Which problems can come out in the process. (overfitting, local minima) and how can we solve them?
Which ensemble learning method, random forest or gradient boosting, has more bias and which one has more variance?
Discuss ideas for improving the performance of a machine translation system. Followup, how would you decide whether you succeeded?
Explain what V K Q mean in transformer models
Derive policy gradient algorithm on the board
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