Multimodal Reinforcement Learning Algorithm Researcher
Tencent Open · verified Oct 21, 2026 At a glance
Mid-level AI Research role at Tencent. Singapore-CapitaSky · full-time.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Research reinforcement learning methods for multimodal models, including image and video generation and multimodal understanding
- Build training systems and reward models for large-scale runs, improving stability and limiting reward hacking
- Test new reinforcement learning approaches that learn more directly from feedback from the environment
What you bring
- A bachelor's degree or higher in computer science or a related discipline
- Strong research credentials, including papers at leading conferences such as ICML, NeurIPS or ICLR
- Hands-on skill implementing deep learning systems, optimizing model training and inference, and working with acceleration or distributed computing
Who this fits
This mid-level research role suits someone focused on reinforcement learning for multimodal models, with both research publication and engineering experience. Experience with diffusion or autoregressive models and text-to-image or text-to-video generation is preferred.
From the employer
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.