The interview questions were a mix of technical questions (signal processing and machine learning) and behavioural questions (working with cross-functional teams, leadership qualities etc.). Some of the technical questions were very pointed (e.g. write a formula for something), while others were more open-ended and allowed for back and forth engagement with the interviewers. I'm glad I brushed up on my DSP basics the night before the interview :)
Variance of a average of random variables
explain your projects
Previous research experience and some basic relevant knowledge
What do you expect from future colleagues?
Probability questions regarding normal distributions and integration. They really expect you to get the actual answer during the interview.
Phone interview: some one claims he can taste color from mm chocolates. Supoose there are 5 kinds of color and 5 kinds of taste. Out of (a number I forgot) , he get the color right for (a number that I forgot). should you believe his ability?
The interviewer asked two programming questions, followed by some questions about the resume.
The second interview had three coding questions, one leetcode medium and two leetcode hard level questions. One of them is here: https://leetcode.com/problems/distinct-subsequences/ The second one was a data structure design question, where the data structure supports push() and randompop() operations. This interview was very difficult in my opinion
Data structure with push() and randompop() features. Furthermore, a data structure with push() and weighted_randompop().
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