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. Gain a deep understanding of model structures such as CNN, RNN, Transformer, etc., and master the advantages, disadvantages, and applicable scenarios of different algorithms