The generic interview process for Meta /big tech companies typically begins with a prescreen coding round, where candidates are assessed on their problem-solving and coding skills. Successful candidates then proceed to a virtual onsite interview, which generally consists of four rounds. These include one machine learning (ML) design round, where candidates are evaluated on their ability to design scalable and efficient ML solutions, two coding rounds that test their proficiency in data structures, algorithms, and problem-solving, and one behavioral round, which focuses on assessing their soft skills, including communication, teamwork, conflict resolution, and their ability to navigate complex situations.

1. Recruiter conversation about background and interests 2. DSA phone screen, 45 minutes 3. Full loop consisted of 2 DSA, 1 behavioral, 1 ML Systems Design , 45 minutes each