1. Responsible for the daily management and development of the algorithm team, formulating team development plans and technical directions;
2. Participate in and lead the model design, algorithm research and development, and iterative optimization of advertising delivery related businesses;
3. Design and implement efficient recommendation algorithm systems for refined in-game operation scenarios;
4. Promote the engineering implementation of algorithm solutions in business, improving model performance and stability;
5. Track cutting-edge technologies in the algorithm field, and innovate and optimize based on business needs.
1. Bachelor's degree or above in computer science, mathematics, statistics, artificial intelligence or related fields;
2. 5+ years of experience in algorithm R&D, with a solid theoretical foundation in machine learning and deep learning;
3. Proficiency in common recommendation, advertising delivery models and algorithms, and recall/ranking methods;
4. Excellent engineering capabilities, proficient in at least one deep learning framework (TensorFlow, PyTorch, etc.), and experience with large-scale distributed computing platforms (Spark, Flink, etc.);
5. Practical experience in advertising delivery, recommendation systems, or game operations related algorithms is a plus;
6. Good team management, project promotion, and cross-team communication and collaboration skills;
7. Keen awareness of new technologies, able to quickly implement them in business and generate actual value.