Hunyuan Multimodal Reinforcement Learning (RL) Research Intern 107383

关于这个机会

Business Unit Technology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services. As the operator of the largest networking, devices, and data center in Asia,TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms and supporting business innovation. What the Role Entails 1. Conduct research on RL algorithms for multimodal models, including diffusion models for image, video, and 3D generation, autoregressive models for multimodal understanding, and potentially unified multimodal frameworks. 2. 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. 3. Explore next-generation RL paradigms that more directly and effectively learn from environment feedback. Who We Look For 1. Currently enrolled as a PhD student in Computer Science or a closely related field. 2. Demonstrated strong research capability, with publications in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, SIGGRAPH. 3. Strong hands-on programming skills, with solid experience in deep learning system implementation, model training and inference optimization, CPU/GPU acceleration, and distributed training and inference. 4. Prior experience with diffusion models, autoregressive models, and/or text-to-image or text-to-video generation is highly preferred. 5. Participation in ACM/NOIP is a strong plus. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals. Work Location: Singapore-CapitaSky

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