Design TikTok.

"The overall interview process was well organized and gave me a good understanding of the role and team. The recruiter was communicative throughout and provided helpful guidance on what to expect. The interviews were challenging but fair, and I appreciated the opportunity to speak with people across different functions. Some questions required more detailed examples and quicker thinking than I expected, but overall it was a positive experience."

"Ok! The interview quality was bad, they do not hire much, and their tech stack is not on par with the market."

"Interview was smooth and relatively easy compared to other processes, interviewer was nice and helpful enough."

"This was my second time going through the same Meta MLE process, and compared to the prior year the big changes were a written portal pre-screen and the new AI-enabled coding round. A sourcer reached out by email, I filled out the questionnaire, then I did a 45-minute coding screen with two LeetCode-style questions before getting the full loop. I split the loop across four days, one round per day: coding, AI-enabled debugging/coding, behavioral, and an ML design round on a TikTok-style recommendation system. The coding felt very standard Meta to me, but the AI round was the distinctive one because I had to debug an unfamiliar codebase, run tests intelligently, and use an LLM without blindly trusting it."

"The interview process was well-structured and fairly rigorous compared to others I’ve experienced. I appreciated that the recruiter clearly communicated expectations upfront, which helped me prepare in the right direction. The technical rounds were challenging but relevant to the role, and the interviewers were professional and engaging."

"The process was smoooth and easy.Phone round followed by a technical interview.I got the offer but i didnt accept it"