Responsibilities
1. Responsible for the core business recommendation algorithm of international short videos, and cooperate with students from top domestic and foreign universities with rich industry experience to jointly build the industry's top recommendation system to provide users with first-class product experience 2. Apply the most cutting-edge machine learning technology to the core scenario business of international short videos, including mixing/sorting/multi-target/recall/cold start/exploration/diversity/content understanding and other scenarios, continuously optimize user experience and promote business development 3. Research directions include but are not limited to: deep learning, graph neural networks, multi-task learning, learning to rank, model compression and acceleration, multimodal technology, etc., and combine the actual problems of the business to carry out technical exploration and research 4. Work closely with the product and operation team to formulate algorithm strategies through in-depth understanding and analysis of products and users to promote the long-term prosperity and development of the short video ecosystem.
Qualifications
1. Have excellent coding skills, solid data structure and algorithm skills 2. Have a passion for recommendation algorithms and machine learning, continue to learn, and be willing to think and innovate 3. Excellent problem analysis and problem-solving skills, good communication skills and team spirit 4. Familiar with one or more of machine learning, natural language processing, and data mining, and those with experience in recommendation systems, computational advertising, and search engine related fields are preferred.
