Core DSA Questions were asked for the majority of the interview. And only towards the later half of the interview, was I asked about my experience in Machine Learning. The questions about my research and ML experience were relatively easy because I was familiar with them but the initial part of DSA made a little nervous while answering these questions as well.
Interview questions [1]
Question 1
What does the vocabulary space of a Language Model mean?
Started with a recruiter screen with simple checks. Then went through 3 rounds of interviews. First 2 rounds were live coding with deep dive on previous projects. 2nd round went really deep of every previous work I did from MLE perspective with being questioned of every possible decision choice. Last was interview with team manager.
Interview questions [1]
Question 1
Recommendation system questions. Coding problems were I remember leetcode medium level.
three rounds, each has coding + ml basic + resume related questions
understand all the details in resume is important, since might go very deep down the project you have worked on
The first round was mainly a CV walkthrough.
The second round focused in depth on one specific project.
Both rounds also included LeetCode medium-level problems.
The third round was with the hiring manager with both project and problems for their business.