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.