Got connected through a friend who currently works at Meta, which fast-tracked me into the interview process. The first round was a coding challenge where I tackled a task involving user-item interaction logs. The subsequent rounds included a deeper discussion on designing an ML system for video recommendations. Lucky for me, I had spent hours on prachub.com prepping, which helped me nail the coding question on similarity computations. Ultimately, I received an offer but decided to pursue a different opportunity. Overall, it was a solid experience.
Interview questions [2]
Question 1
Design an ML system to rank and recommend short-form videos (Reels) in a user's feed, including how you'd choose features, handle cold-start, and pick an evaluation metric.
Applied online. Received a recruiter screen within two weeks covering background and role fit. Followed by a technical phone screen with coding (LeetCode medium-hard, arrays/graphs). Then a virtual onsite with 4 rounds: 2 coding, 1 ML system design (recommendation/ranking system), and 1 behavioral. Interviewers were professional and gave time to ask questions. Results communicated within a week post-onsite.
First stage was a screen round with behavioral and 2 leetcodes, one medium one hard, 15-17 min each. If selected, loop is 4-6 interviews. 2 desgin, 2 coding, 1 behavioral.
Interview questions [1]
Question 1
idiotic questions that can't be answered in depth in 35 minutes design, like "your solution isn't going to work, how will you handle it?" yea no sht this is a baseline bro, wait 15 seconds and ill talk about the optimal one.