Co-Op, Agentic Simulations for Materials Science
Salary not disclosed
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Role overview
Job description
Your Impact at LILA Join our physical sciences team to contribute to developing ML- and agent-driven infrastructure that enables Lila's scientific superintelligence to autonomously construct, execute, and interpret complex physics simulations and apply these to real-world scientific problems in materials science and chemistry. You will work on projects involving one of these areas: enabling AI agents to reason over and orchestrate simulations, developing ML methods to accelerate atomistic simulations, and leveraging agentic simulations for applications in materials discovery. What You'll Be Building Contribute to projects involving one of these areas: AI agents for simulations, ML models for atomistic simulations, and in silico materials discovery. Develop methods and workflows for in silico materials discovery that connect physics-based simulations, generative models, and agentic AI sys
…About this listing
- Source: Lila Sciences's official careers site (via Greenhouse) · last confirmed on the source 27 Oct 2026
- Posted 26 Oct 2026
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Department · Physical Sciences AI
Hiring company
Lila Sciences
LILA has created the world's first Operating System for Science powered by Scientific Superintelligence™
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