Not very difficult questions, but they were VERY extensive. I received a question on the k-means algorithm: when it is used and what are its weaknesses.
Machine Learning Research Engineer Interview Questions
1,879 machine learning research engineer interview questions shared by candidates
The algorithmic interviews were leetcode medium and a leetcode hard. I did not fully finish the leetcode hard but the interviewer was satisfied. I also had a behavioral round with a hiring manager.
Basic resume related questions and some in-depth project questions. Overall easy interview
How would you contribute to the team?
Oops concepts, networking basics
deep learning algorithms
What is the difference between EM and likelihood? When to use EM? Given two steps climbing types(one step. two steps) can you write a function to output the how much in total are there different ways to climb n steps?
almost all of them is about DP. So whatever questions you are asked, think about DP first
Problem given relating to Hamiltonian path.
If you know basic Numpy and Pandas, the take home assignment should be a cakewalk.
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