Machine Learning Engineer (Recommendation) - Global E-Commerce Singapore Regular

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 may include but not limited to: natural language processing, computer vision, reinforcement learning, etc. Collaborate with cross-functional teams including data scientists, product managers, and engineers to develop innovative solutions. Stay up-to-date with latest advancements in machine learning and apply them to improve recommendation systems. Develop and maintain high-quality code, ensuring scalability, reliability, and maintainability of the system. Participate in code reviews and contribute to open-source projects.