腾讯(tencent)招聘Hunyuan Multimodal Reinforcement Learning (RL) Research Intern 107047
招聘职位：
Hunyuan Multimodal Reinforcement Learning (RL) Research Intern 107047 搜索同类职位
岗位职责：
Business Unit
What the Role Entails
Responsibilities:
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
Requirements:
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
岗位要求：
岗位要求详情请见上方岗位职责内说明
Business Unit
What the Role Entails
Responsibilities:
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
Requirements:
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
岗位要求：
岗位要求详情请见上方岗位职责内说明
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