Hunyuan Multimodal Reinforcement Learning (rl) Research Intern

Tencent Music Entertainment Group

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Phd student in computer science
Publications in top-tier conferences
Deep learning system implementation skills
** Tencent Music Entertainment Group is seeking a Multimodal Reinforcement Learning Research Intern to conduct research and develop algorithms related to multimodal models, emphasizing practical applications in reinforcement learning. The ideal candidate is a PhD student in Computer Science with strong programming skills and a robust research background. **

Job Summary

  • The role involves conducting research on RL algorithms for multimodal models such as diffusion and autoregressive frameworks.
  • Candidates are expected to design RL infrastructure and reward modeling strategies to ensure efficient large-scale training.
  • The position requires strong hands-on programming skills with experience in distributed training and model optimization.

Matching Summary

Match Score: 75

** Tencent Music Entertainment Group is seeking a Multimodal Reinforcement Learning Research Intern to conduct research and develop algorithms related to multimodal models, emphasizing practical applications in reinforcement learning. The ideal candidate is a PhD student in Computer Science with strong programming skills and a robust research background. **

Skills & Requirements

Must-have

  • PhD student in Computer Science
  • Publications in top-tier conferences
  • Deep learning system implementation skills

Nice-to-have

  • Experience with diffusion models
  • Prior text-to-image generation experience
  • Participation in ACM/NOIP competitions

Key Requirements

  • Currently enrolled PhD student status
  • Strong research capability demonstrated by publications
  • Solid experience in deep learning system implementation

Work Rights

Not specified

Tailored Resume

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