There were two VO sessions in total: one for past research projects and details on ML NLP research, and another for learning code coding questions at the medium and hard levels.
Questions d'entretien [1]
Question 1
Past Research Projects
MultiModal LLM
Learning Rate for Training LLM
LLaMA Architecture
J'ai postulé en ligne. Le processus a pris 2 mois. J'ai passé un entretien chez Meta
Entretien
There was 1 research and 1 coding interview. The research interview consisted of 2 parts: in the first part, they asked questions about my publications, while the second part was a brainstorming session about a research problem.
I had two interviews: one for research fit, where I presented my own research and the interviewer asked a lot of open-ended questions and the second was 45 minutes of ML coding (no pytorch), which was not very hard.
J'ai passé un entretien chez Meta (Menlo Park, CA)
Entretien
there is one coding round, just two lc easy questions, and 1 research round, asked about my research papers, gave hypothetical situation and asked for specific model architecture design details. Overall was pretty normal and not hard.
Questions d'entretien [1]
Question 1
1. Dot Product of Two Sparse Vectors
2. Randomly sampling K elements from a list without replacement
