Research Internship – Reinforcement Learning for Large Foundation Models
US-Washington-Bellevue, United States
USD 80K-124K Entry-level Full Time Internship
Tasks
- Build reward modeling methods
- Conduct large scale RL experiments
- Design world model techniques
- Develop reinforcement learning algorithms
- Evaluate agent reasoning and autonomous exploration
- Optimize RL for large foundation models
- Publish research papers
Perks/Benefits
Skills/Tech-stack
Deep learning | Language Processing | Natural Language | Natural Language Processing | PyTorch | Python | Reinforcement Learning | Reward Modeling | World Models
Education
Roles
Regions
Countries
States
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