About the Team The E-commerce Recommendation Foundation team is dedicated to building the next-generation recommendation intelligence. We aim to develop a unified Foundation Model that supports multi-business and multi-scenario recommendation systems, covering the full pipeline from
About the Team The E-commerce Recommendation Foundation team is dedicated to building the next-generation recommendation intelligence. We aim to develop a unified Foundation Model that supports multi-business and multi-scenario recommendation systems, covering the full pipeline from
About the Team The E-commerce Recommendation Foundation team is dedicated to building the next-generation recommendation intelligence. We aim to develop a unified Foundation Model that supports multi-business and multi-scenario recommendation systems, covering the full pipeline from
About the Team The E-commerce Recommendation Foundation team is dedicated to building the next-generation recommendation intelligence. We aim to develop a unified Foundation Model that supports multi-business and multi-scenario recommendation systems, covering the full pipeline from
About the team The future of e-commerce customer service is intelligent, efficient, and AI-driven. Our team is dedicated to replacing traditional human-agent customer service with an advanced AI-powered conversational system that provides instant, intelligent, and seamless
Responsibilities About the Team The E-commerce Recommendation Foundation team is dedicated to building the next-generation recommendation intelligence. We aim to develop a unified Foundation Model that supports multi-business and multi-scenario recommendation systems, covering the full pipeline
Responsibilities Team introduction: The AI Innovation Center is a department focused on building AI infrastructure and driving cutting-edge research in AI. We explore industry-leading AI technologies, including large language models (LLMs) and multimodal large models, with
School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over
At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join
Responsibilities Team Introduction: The ByteDance Recommendation Architecture Team is responsible for the design and development of the recommendation system architecture for ByteDances related products. It ensures the stability and high availability of the system, optimizes the
Responsibilities Team Introduction Our Recommendation Architecture Team is responsible for building and optimizing the architecture of the recommendation system to provide the most stable and best experience for users. The team focuses on optimizing the recommendation
Responsibilities About the Team We Are the E-commerce Short Video & Live Recommendation Team. As pioneers reshaping global shopping experiences, we specialize in end-to-end optimization of short video recommendation systems across Europe, Southeast Asia, and Latin
Job Description: Rakuten Asia, in partnership with the Economic Development Board (EDB) through the Industrial Postgraduate Programme (IPP), is seeking new PhD students. We are looking for individuals with a robust understanding of deep learning, machine
Position Description CSI has built a leading algorithmic trading brokerage in APAC. Since 2016, it has pioneered the use of advanced machine learning techniques in its ADAPTIVE trading algorithms. Our trading algorithms are designed and developed in APAC. The