Hunyuan Multimodal RL Research Intern

About the role

Tencent's Technology Engineering Group (TEG) is recruiting a research intern for its Hunyuan Multimodal Reinforcement Learning (RL) team. The role focuses on research and development of reinforcement learning methods for multimodal models, including diffusion and autoregressive models, and on building the infrastructure needed for large-scale training.

Key responsibilities

• Research RL algorithms for multimodal models, including diffusion models for image, video and 3D generation, autoregressive models for multimodal understanding, and potentially unified multimodal frameworks.
• Design and develop RL infrastructure and reward modeling strategies to enable efficient large-scale training, improve training stability and mitigate reward hacking and related failure modes.
• Explore next-generation RL paradigms that learn more directly and effectively from environment feedback.

Required profile

• Currently enrolled as a PhD student in Computer Science or a closely related field.
• Demonstrated strong research capability, with publications in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV or SIGGRAPH.
• Prior experience with diffusion models, autoregressive models and/or text-to-image or text-to-video generation is highly preferred.
• Participation in ACM/NOIP is a strong plus.

Required skills

• Strong hands-on programming skills.
• Solid experience in deep learning system implementation, model training and inference optimization, CPU/GPU acceleration and distributed training and inference.