I expressed interest in computer vision and mathematics, so my questions included the following topics: vector/linear algebra, calculus 3 (some basic proofs), computer graphics, geometry/trigonometry, leetcode-style questions, camera systems, buffer streams, ML-related questions (network architectures for a given problem, how to design/formulate an ML problem), and some questions related to my past research in CV.
Q2: You have a box that has 2 integers on input and its output is maximal and minimal values of the input. Using only this box build a system that finds median of 3 integers.
Singleton pattern
I also had a phone screen where they asked me to write code on a shared screen. I think they asked me to remove duplicates from an array. The phone interview was quite straightforward and good.
Coding questions: Some were easy, while some were classical Computer Science problems such as Longest Increasing Subsequence, Optimal Assignment Problem, find a convex hull etc. and there were a few easy CS/data science written and/or multiple choice questions. Management Interview: Tell me something about yourself and your work, what are you looking for, when are you available to join, what is your desired salary.
Transpose a Matrix. First do it using extra memory, then do it in place.
The technical round consisted of a take home coding assignment in Python with data given to you by the interviewer in a zip file. I was tasked with reading the data, extracting, processing, and displaying data. Altogether, this was a solid coding assignment that tested the ability to deliver a coding solution and the ability to write clean and efficient code.
First round was a call to understand about background experience.
The final round was more about personal interests and they briefed about what the company is currently doing.
The third round was a timed coding round with simple problems in OpenCV and Pandas, with a bonus HackerRank problem.
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