The interview process was normal. First talked with a recruiter for the overview of the opportunity, and after that a couple of interviews were scheduled; for both system design questions and coding questions.
Interview questions [1]
Question 1
General coding questions and systems design questions. Not specific to ML systems.
After the recruiter screen, the first round is two technical interviews - coding and system design. I found the system design question challenging, and the interviewer took a very hands-off rather than collaborative approach compared to other interviewers. I did not progress beyond this round.
Interview questions [1]
Question 1
Design a system for AI video generation based on text input.
This whole process dragged on for about a month, much longer than I anticipated. It kicked off with a technical phone screen, where I was asked about data structures and algorithms. The DSA questions were tough, especially one regarding matrix traversal. Mid-way through the coding round, it clicked that I had tackled this exact problem on PracHub just days before, which helped me structure my answer. The onsite included system design questions that were challenging, but I didn’t end up receiving an offer. Overall, it was an intense experience.
Interview questions [1]
Question 1
Given an n x n matrix where each row and each column is sorted in ascending order, return the kth smallest element in the matrix. Walk through both the min-heap approach and the binary-search-on-value approach, compare their time and space complexity, and discuss which one you'd prefer for very large matrices that don't fit in memory.
2 rounds phone screen(1 coding + 1 system design) and 4 rounds onsite interviews(1 coding + 1 design + 1 deep dive + 1 behavior).
general good experience but need fast coding