- Singapore, Singapore
- On-site
- Internship · Intern
Conduct research on generative recommendation systems, develop models, and collaborate with researchers and engineers to advance personalized retrieval and ranking.
Responsibilities
- Conduct research on generative recommendation, including autoregressive transformers, diffusion models, and flow matching for personalized retrieval and ranking
- Explore multimodal modeling approaches that combine images, video, text, and user interaction histories to learn content representations and user preferences
- Develop reinforcement learning, reward modeling, and preference optimization methods to improve recommendation quality and long-term user satisfaction
- Design, implement, and evaluate novel model architectures and training algorithms through rigorous experimentation
- Collaborate closely with researchers and engineers to translate research ideas into scalable recommendation methods
Requirements
- Ph.D. in Computer Science, Electrical Engineering, or a related field