The working environment is good. There is nothing else.
The working culture is toxic, work from 10.am to 10.pm, and sometimes you need to work in the weekend
I was asked details of some basic ML algorithms, such as the formulation and how to select models to use for certain problems and the dataset, e.g., SVM, LR, Random Forest, decision tree etc.
I answered some simple questions, such as browser behavior, front-end program architecture, and wrote a simple algorithmic problem by hand. The interviewer is very friendly. I encountered some network freeze problems. We paused the video and only us
HR reachout - 1 Phone screening - Multiple onsites - Hiring decision WeChat normally has a slightly different hiring process which may correspond to a higher bar, other teams in Tencent shares the same procedure
I was asked details of some basic ML algorithms, such as the formulation and how to select models to use for certain problems and the dataset, e.g., SVM, LR, Random Forest, decision tree etc.
I answered some simple questions, such as browser behavior, front-end program architecture, and wrote a simple algorithmic problem by hand. The interviewer is very friendly. I encountered some network freeze problems. We paused the video and only us
HR reachout - 1 Phone screening - Multiple onsites - Hiring decision WeChat normally has a slightly different hiring process which may correspond to a higher bar, other teams in Tencent shares the same procedure