For the most part they were basic probability and coding. After reading other reviews, I seem to think they're recycling the interview problems: - Basic high-school probability and number puzzles. - The CTO wanted to implement a linked list, and reverse it (extra credit for in place reversal in a single pass). - One of the engineers tried to prove he was smarter than you but providing very sparse details on his problems. It was also a bit annoying when he didn't acknowledge any correct answers and simply wanted to move on to the next problem.
Ml Engineer Interview Questions
2,736 ml engineer interview questions shared by candidates
Advanced Python, advanced data structure question
How would you detect these spots in a Petri dish? Please, describe how circle detection works. Tell me about Hough transform. Describe this piece of code in Python, what does it do? How would you describe this weird behavior? What do you know about multi-processing in Python?
Name some characteristics of functional programming.
What is cnn and rnn ?
Describe any of your projcts
There were 4 rounds . 2 of online assessment , 1 Technical and 1 HR . in technical interview they asked about the projects , their description and some pretty basic questions of numpy , ML , python . The HR round was quite interactive .
Every other question was related to ML and the types of learning(supervised and unsupervised and their types).
How would you improve the time complexity of this algorithm
How do you cross 4 people access a bridge using one torch and different speeds?
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