1. Proficient in commonly used data structures, AI algorithms, and design patterns. 2. Proficient in quantitative training, machine learning, user profiling, and user behavior feature profiling. 3. Proficient in commonly used machine learning and AI algorithm frameworks, able to efficiently build, train, and optimize models. four Familiar with optimizing neural network model compilers. 5. Deeply understand the model structures of CNN, RNN, Transformer, etc., and master the different algorithms