The Meta interview process began with a short recruiter screen, where I discussed my background, technical experience, and overall fit for the position, as well as details such as preferred teams and timeline. After passing the initial screening, I was invited to two technical coding interviews that focused primarily on data structures and algorithms. During these sessions, I was asked to solve medium-to-hard programming problems while explaining my thought process clearly, optimizing for both correctness and efficiency. The interviewers also evaluated my ability to reason through edge cases, write clean and readable code, and communicate effectively under time constraints.
The interview process went well, went through 2 coding rounds, 1 design and 1 behavior, the coding is two easy questions per round. I think the interviewer expect you to have a good understanding of the algo and want you to talk through it, instead of just implementing it.
Interview questions [1]
Question 1
All the questions are common meta style questions, easy and standard
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.