J'ai postulé en ligne. J'ai passé un entretien chez Meta
Entretien facile
Candidature
J'ai passé un entretien chez Meta
Entretien
One round for research discussion, discussing general research topics and interest. one round for technical interview, two questions are asked: one simple leetcode question, one pytorch related. All basic questions
Questions d'entretien [1]
Question 1
Write a pytorch function achieving 2D Gaussian filtering and optimization
Describe the complete process of training a VL reward model. They ask you how the dataset is curated, which model to use, and how to get the reward from a generative model
Questions d'entretien [1]
Question 1
Describe the complete process of training a VL reward model. They ask you how the dataset is curated, which model to use, and how to get the reward from a generative model
J'ai passé un entretien chez Meta (Londres, Angleterre)
Entretien
The interview process is smooth. I got two round interview, the first is a research interivew and the second is a technical interview. Research interview is related to my past research and the technical interview is related with practical problem in the research field.
Questions d'entretien [1]
Question 1
Describe how the attention mechanism works inthe transformer
It was a three-interview process: one coding interview and two technical interviews. The coding problems were not that difficult, but the technical interview was very hard. I have two technical interviews as I got a neutral result from the first technical review.
Questions d'entretien [1]
Question 1
Coding
Q1. How to pool the 2D conv net when the context length is limited.
Q2. Find an error in the given code.