Hunyuan Multimodal Reinforcement Learning (RL) Research Intern

Tencent International Service Pte. Ltd.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

Tencent International Service Pte. Ltd. invites a PhD student in Computer Science to join the Technology Engineering Group in Singapore as part of a cutting-edge reinforcement learning research role.

You will work on multimodal RL algorithms, diffusion and autoregressive models, and contribute to scalable training infrastructure. Ideal candidates have publications in top conferences, strong programming skills in DL systems, and a track record in model training and distributed inference.

Qualifications

• PhD student in Computer Science or closely related field.
• Publications in top-tier conferences (e.g., ICML, NeurIPS, CVPR).
• Strong programming skills with deep learning systems, training and inference optimization.
• Experience with diffusion or autoregressive models and text-to-image/video generation preferred.
• ACM/NOIP participation is a plus.

Responsibilities

• Conduct RL research on multimodal models including diffusion and autoregressive approaches.
• Design RL infrastructure and reward modeling for large-scale training and stability.
• Explore new RL paradigms that improve learning from environment feedback.

Skills

Deep learning

Model training

Distributed training

GPU acceleration

Inference optimization

Education

PhD candidate in Computer Science

Tools

Diffusion models

Autoregressive models

Text-to-image generation

Text-to-video generation

Job description

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.