Multimodal Reinforcement Learning Algorithm Researcher

WeChat International Pte. Ltd.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Tencent's Technology Engineering Group in Singapore is seeking a researcher to advance reinforcement learning for multimodal models, including diffusion and autoregressive approaches. You will design scalable training frameworks and reward models to enhance stability and learning efficiency.

Candidates should have strong DL expertise, a track record of research publications, and familiarity with distributed training across CPU/GPU platforms.

Qualifications

• Bachelor’s degree in CS or related field.
• Strong research capabilities with publications in top conferences (ICML, NeurIPS, ICLR, CVPR).
• Experience in deep learning system implementation and model training.
• Preference for diffusion and autoregressive models.
• Familiarity with ACM/NOIP participation.

Responsibilities

• Design RL training frameworks for multimodal models.
• Develop reward modeling strategies to improve training stability.
• Explore next-generation RL paradigms for efficient learning from feedback.

Skills

Research publications

Deep learning

Reinforcement learning

Distributed training

Model optimization

Education

Bachelor’s degree in CS or related field

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 reinforcement learning algorithms for multimodal models, including diffusion models for image and video generation, autoregressive models for multimodal understanding, and cutting-edge unified multimodal frameworks.
• 2.Design and develop reinforcement learning training frameworks and reward modeling strategies to enable efficient large-scale training, improve training stability, and address issues such as reward hacking.
• 3.Explore next-generation reinforcement learning paradigms that enable more direct and efficient learning from environmental feedback.

Who We Look For

• 1.Bachelor’s degree or above in Computer Science or related fields.
• 2.Excellent research capabilities with publications in top conferences including ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, SIGGRAPH, etc.
• 3.Strong engineering and programming skills, with experience in deep learning system implementation, model training and inference optimization, CPU/GPU acceleration, and distributed training and inference.
• 4.Preference given to candidates with experience in diffusion models, autoregressive models, text-to-image / text-to-video generation.
• 5.Preference given to candidates with participation experience in ACM/NOIP (Informatics Olympiad).

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.

Who we are

Tencent is a world-leading internet and technology company that develops innovative products and services to improve the quality of life for people around the world. 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.