Hi HN, I’m getting ready for research internship interviews (ML / CV / multimodal learning) and looking for prep material that goes beyond LeetCode-style questions. I’m especially curious how these interviews tend to work and what people actually get asked, like discussing papers, experiments, or past research. Any blog posts, notes, or personal experiences from places like FAANG, etc. would be really helpful.