This listing has expired. It was posted more than 45 days ago and the role is probably filled. Browse current openings instead.
Economic Operating System (EOS) for AI Infrastructure
Reinforcement Learning & Optimization Intern
- Location
- Remote
- Stipend
- 20,000/month
- Type
- Intern
About this role
The role involves reinforcement learning research and optimization projects for complex decision-making systems. Interns will develop, train, and evaluate RL models, design learning environments and reward functions, improve training efficiency, and contribute to large-scale AI optimization initiatives. Required skills include Python, PyTorch or JAX, PPO, Stable Baselines, TorchRL, and strong mathematical problem-solving capabilities. Candidates should have a strong interest in reinforcement learning, optimization, and AI research. Applications require a resume, portfolio or GitHub profile, and a short written response.