The process contains two interviews: one with the hiring manager, one with engineer. Since the position is about computer vision, their main goal is to make sure you are a good fit for the position
Interview questions [1]
Question 1
Two interviews:
- One interview with the manager about describing your research projects
- One coding interview in Python (implementing 2D convolution)
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
Interview questions [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
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.
Interview questions [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.
Interview questions [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.
