Responsibilities • Participate in the algorithm design and development of AI-related projects, including but not limited to areas such as deep learning, natural language processing, computer vision, and reinforcement learning. • Build, train, and optimize AI models, and assist the team in completing model evaluation and data analysis. • Read, understand, and write cutting-edge papers in related fields, explore new technologies, and attempt to implement them. • Assist the IT Application team in completing data processing, feature engineering, and other digital tasks. • Learn and master the team’s existing code repos and toolchain, and complete the development and optimization of specific modules. • You will collaborate closely with senior algorithm engineers and data scientists, delve into cutting-edge technologies in the field of artificial intelligence, and transform theoretical knowledge into practical abilities through real projects. Requirements • Master’s or PhD student in Computer Science, Electronic Engineering, Mathematics, Statistics, or related fields (graduating soon or within 2 years of graduation); • Solid mathematical foundation, familiar with linear algebra, probability and statistics, optimization theory, and related knowledge. • Familiar with deep learning frameworks (such as TensorFlow, PyTorch) and common algorithms (such as CNN, RNN, Transformer, etc.); • Proficient in one programming language (such as Python), with development experience in multiple other languages (such as C++, Go), and proficient experience in code development and testing. • Maintain a strong curiosity in cutting-edge technologies in the AI field, with relevant project experience or contributions to open-source projects; • Strong learning ability, good at communication, and able to quickly integrate into the team and complete task deliveries.