Principal Researcher – Reinforcement Learning For Large Foundation Models

Tencent Music Entertainment Group

Bellevue, Washington, United States
Base: $163,800.00 to $307,600.00 py; bonus/equity:...
Not specified (assumed to be hybrid or onsite based on location).
Reinforcement learning algorithms
Reward modeling
World models
Tencent Music Entertainment Group is seeking a Principal Researcher specializing in reinforcement learning for large foundation models to advance AI technologies. The position requires a strong academic background, experience with cutting-edge algorithms, and proficiency in programming, particularly Python

Job Summary

  • The role involves leading cutting-edge algorithm research focused on designing and optimizing RL algorithms for large foundation models.
  • Candidates will conduct large-scale experiments in scenarios such as complex reasoning and autonomous agents to deliver impactful real-world applications.
  • Employees are eligible for a sign-on payment, relocation package, restricted stock units, and comprehensive medical and retirement benefits.

Matching Summary

Match Score: 85

Tencent Music Entertainment Group is seeking a Principal Researcher specializing in reinforcement learning for large foundation models to advance AI technologies. The position requires a strong academic background, experience with cutting-edge algorithms, and proficiency in programming, particularly Python.

Salary

Base: $163,800.00 to $307,600.00 per year; Bonus/Equity: Sign-on payment and restricted stock units available; Benefits: Medical, dental, vision, life, disability, 401(k), vacation, holidays, sick leave

Skills & Requirements

Must-have

  • Reinforcement Learning Algorithms
  • Reward Modeling
  • World Models
  • Python Programming
  • PyTorch or TensorFlow

Nice-to-have

  • Cross-functional collaboration skills
  • Influential research paper publication
  • Experience with large foundation models

Key Requirements

  • Ph.D. in Computer Science or related field
  • Experience at leading global companies in large foundation models
  • Publications in top-tier conferences like NeurIPS or ICML

Work Rights

Not specified

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