Responsibilities

• Work on recommendation systems, involving contents of various forms ranging from products, short videos to live streams, with each unified recommendation model fulfilling heterogeneous E-commerce scenarios/goals across multiple countries.
• Optimize e-commerce recommendation models at massive scales, using deep learning/transfer learning/multi-task learning techniques.
• Data mining and analysis to improve the quality of recommended contents.
• Conduct research on various topics, which aim to optimize content recommendation circulation, ranging from ensuring diversity and new discovery in recommendation contents, to cold-start problem for new users/items and discovery of high-quality products/live streamers.
• Develop innovative and state-of-the-art e-commerce models and algorithms.
• Support the production of scalable and optimised AI/machine learning (ML) models.
• Focus on building algorithms for ...