Research Intern – Reinforcement Learning (RL) - Onsite
Tasks
- Collaborate to deploy evaluate and iterate learning systems in production
- Define reward models and feedback loops
- Design and build reinforcement learning environments
- Design reinforcement learning agents
- Enable learning from production data
- Experiment with multi agent systems and simulation frameworks
Perks/Benefits
Skills/Tech-stack
Agent systems | Machine Learning | Multi-Agent | Multi-Agent Systems | Offline Learning | Online Learning | Optimization | Probability | Reinforcement Learning | Reward Modeling | Simulation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Intern | Machine Learning Researcher | Research Intern | Researcher
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