Candidatei-me por meio de recrutador(a). O processo levou 2 semanas. Fui entrevistado pela Meta (Menlo Park, CA) em jan. de 2018
Entrevista
I was contacted by the recruiter regarding a position of SDE for machine learning through linkedin. After my response, the recruiter helped setup the phone interview, as well as job description and some userful information about the interview process.
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.
Perguntas de entrevista [2]
Pergunta 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.
Fiz uma entrevista na empresa Meta (Londres, Inglaterra).
Entrevista
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.
Perguntas de entrevista [1]
Pergunta 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.