Research Internship – Reinforcement Learning For Large Foundation Models

Tencent Music Entertainment Group

Bellevue, WA, US
Base: $80,168.40 to $124,800.00 py; bonus/equity: ...
Not specified
Ph.d. in computer science or related field
Proficiency in python programming
Experience with pytorch deep learning framework
Tencent Music Entertainment Group is seeking research interns for their AI Lab in Bellevue, WA, focusing on reinforcement learning for large foundation models. The role involves developing innovative algorithms and conducting research aimed at enhancing AI capabilities, with a strong emphasis on collaboration and contribution to impactful publications

Job Summary

  • The role focuses on developing stable and efficient reinforcement learning algorithms for large foundation models to drive AGI development.
  • Interns will work directly with researchers at Tencent AI Lab Seattle to solve core problems in RL algorithm design and optimization.
  • The position offers a 3-month duration starting in 2026 with eligibility for medical plans and paid sick leave.

Matching Summary

Match Score: 85

Tencent Music Entertainment Group is seeking research interns for their AI Lab in Bellevue, WA, focusing on reinforcement learning for large foundation models. The role involves developing innovative algorithms and conducting research aimed at enhancing AI capabilities, with a strong emphasis on collaboration and contribution to impactful publications.

Salary

Base: $80,168.40 to $124,800.00 per year; Bonus/Equity: Not specified; Benefits: Eligible for medical plan, paid sick leave, and 13 paid holidays

Skills & Requirements

Must-have

  • Ph.D. in Computer Science or related field
  • Proficiency in Python programming
  • Experience with PyTorch deep learning framework
  • Research experience in NLP or Machine Learning

Nice-to-have

  • Strong publication track record
  • Creativity and intellectual flexibility
  • Excellent communication skills
  • Ability to collaborate cross-functionally

Key Requirements

  • Ph.D. from a top university
  • History of creativity and research output
  • Self-motivated attitude

Work Rights

Not specified

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