The team is excellent, with a very modern tech stack. Candidates are expected to have strong data sensitivity and the ability to perform both online and offline data analysis and reasoning across the entire data and model pipeline. Of course, coding requirements are also high, especially for high-performance systems such as those built in C++.
Of course, a large part of the work involves solving problems through data analysis and modeling them using appropriate statistical and mathematical methods. Therefore, if someone is uncomfortable with mathematics, this role may not be a good fit.
Apply online. HR screening call (30 minutes), asking about your interest and past experiences and introducing different teams. Two tech interviews (60 minutes each). * Past projects deep dive * Statistics questions * LeetCode
The interview process was good. HR directly found me on LinkedIn and shared me the link to schedule an interview. There were two technical rounds in the interview process.
Past project discussion (dive deeper into the detailed implementation and ask the reasons for certain experiments or algorithms) ML questions (basic ML + NLP) LeetCode (usually DP and two pointers)
Apply online. HR screening call (30 minutes), asking about your interest and past experiences and introducing different teams. Two tech interviews (60 minutes each). * Past projects deep dive * Statistics questions * LeetCode
The interview process was good. HR directly found me on LinkedIn and shared me the link to schedule an interview. There were two technical rounds in the interview process.
Past project discussion (dive deeper into the detailed implementation and ask the reasons for certain experiments or algorithms) ML questions (basic ML + NLP) LeetCode (usually DP and two pointers)