Multimodal Reinforcement Learning Algorithm Researcher

This role involves conducting research on reinforcement learning algorithms for multimodal models, including diffusion and autoregressive models. Candidates will design and develop training frameworks and reward modeling strategies to enable efficient large-scale training and improve stability. The position focuses on exploring next-generation paradigms for direct and efficient learning from environmental feedback.