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Research Scientist to contribute to Social Intelligence within complex multi-agent ecosystems, bridging centrally orchestrated multi-agent systems and social reasoning paradigms. Drive research focused on enabling autonomous agents to navigate the 'coordination bottleneck' through the development of Theory of Mind (ToM), intent modeling, and emergent social behaviors. Synthesize principles from reinforcement learning, game theory, and behavioral science to make agents capable of sophisticated alignment, ensuring ethical operation within human-centric environments.

Research Scientist role focused on designing and building LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines. This involves integrating agentic AI with computational tools, developing RAG systems, and collaborating with domain experts to accelerate discovery timelines. The role contributes to both production systems and published research.