Research Intern – Reinforcement Learning (RL)

Level AI is a fast-growing Series C AI company focused on building production-grade Agentic AI systems. They are seeking a Research Intern specializing in Reinforcement Learning to design and build RL environments and agents that model real-world customer interactions, utilizing real-world data and feedback loops.

Responsibilities:

• Design and build reinforcement learning environments that model real-world customer interaction workflows
• Design RL agents that learn from these environments using real-world interaction data, rewards, and feedback loops
• Define reward models and feedback loops using real-world signals (outcomes and human feedback)
• Enable learning from production data by structuring interaction traces into training-ready datasets for offline and online learning
• Experiment with multi-agent systems and simulation frameworks for complex coordination and decision-making
• Collaborate with engineering and product teams to deploy, evaluate, and iterate on learning systems in production at scale