Responsibilities
1. Responsible for the core business recommendation algorithm work of international short videos. Cooperate with students from top domestic and foreign universities and have rich industry experience to jointly build the industry's top recommendation system and 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 shuffling/sorting/multi-target/recall/cold start/exploration/diversity/content understanding and other scenarios, to continuously optimize user experience and promote business development 3. Research directions include but are not limited to: deep learning, graph neural network, multi-task learning, learning to rank, model compression and acceleration, multi-modal technology, etc., and explore and research technologies based on actual business issues 4. Work closely with product and operations teams to formulate algorithm strategies to promote the long-term prosperity and development of the short video ecosystem through in-depth understanding and analysis of products and users.
Qualifications
1. Have excellent coding skills, solid data structure and algorithm skills 2. Be passionate about recommendation algorithms and machine learning, continue to learn, and be willing to think and innovate 3. Excellent problem analysis and problem-solving abilities, good communication skills and team spirit 4. Familiar with one or more of machine learning, natural language processing, and data mining. Applicants with experience in recommendation systems, computational advertising, and search engine related fields will be given priority.
