Hunyuan Multimodal Reinforcement Learning Research Intern

Tencent

Palo Alto, California, US
Base: $80,168.40 to $124,800.00; bonus/equity: not...
Not specified (assumed in-office due to location)
Research on rl algorithms
Strong hands-on programming skills
Experience with deep learning systems
Tencent is seeking a Hunyuan Multimodal Reinforcement Learning Research Intern for their Palo Alto office. The role focuses on researching reinforcement learning algorithms for multimodal models and requires a strong background in computer science, deep learning, and relevant publications

Job Summary

  • This role involves conducting research on RL algorithms for multimodal models including diffusion models.
  • The intern will design and develop RL infrastructure to improve training stability and efficiency.
  • Tencent values diverse voices and fosters an environment where employees feel supported to achieve their goals.

Matching Summary

Match Score: 85

Tencent is seeking a Hunyuan Multimodal Reinforcement Learning Research Intern for their Palo Alto office. The role focuses on researching reinforcement learning algorithms for multimodal models and requires a strong background in computer science, deep learning, and relevant publications.

Salary

Base: $80,168.40 to $124,800.00; Bonus/Equity: Not specified; Benefits: Paid sick leave and holidays

Skills & Requirements

Must-have

  • Research on RL algorithms
  • Strong hands-on programming skills
  • Experience with deep learning systems

Nice-to-have

  • Experience with multimodal models
  • Participation in ACM/NOIP
  • Knowledge of reward modeling strategies

Key Requirements

  • Currently enrolled as a PhD student
  • Publications in top-tier conferences
  • Prior experience with diffusion models preferred

Work Rights

Not specified

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