Research Intern – Reinforcement Learning (RL)
Tasks
- Define reward models and feedback loops
- Deploy evaluate and iterate learning systems in production
- Design RL agents
- Design reinforcement learning environments
- Experiment with multi-agent systems
- Structure interaction traces into training datasets
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Fine Tuning | LLM Fine-tuning | Language Processing | Learning environments | Machine Learning | Model Alignment | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Offline Reinforcement Learning | Online Reinforcement Learning | Optimization | Probability | RLHF | Reinforcement Learning | Reinforcement Learning Environments | Reward Modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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