Tencent
Hunyuan Multimodal Reinforcement Learning Research Intern
US-California-Palo Alto · Intern · Internship
Sponsorship not specified$80k-$125kDetected 20 days ago
AlgorithmsDeep LearningResearchCollaboration
About the role
- 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.
- Explore next-generation RL paradigms that more directly and effectively learn from environment feedback.
Responsibilities
- 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.
Nice to have
- Prior experience with diffusion models, autoregressive models, and/or text-to-image or text-to-video generation is highly preferred.
- Participation in ACM/NOIP is a strong plus.
Compensation
- The expected base pay range for this position in the location(s) listed above is $80,168.40 to $124,800.00 per year.
Company info
- 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
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