$268K – $384K/yr
Principal Scientist / Associate Director, Agentic AI Research for Materials Science
Role overview
Job description
Your Impact at LILA Own the technical direction for agentic AI systems applied to materials science at Lila. You will set and execute the roadmap for autonomous agents that plan, run, and interpret materials experiments, based on understanding of internal knowledge and state-of-the-art research work in public literature. Your work shifts materials research from human-paced iteration to machine-paced experimentation through scientific reasoning and understanding. This is a player-coach role on the PS AI team. You will lead a small group of scientists and engineers, set the bar for scientific rigor and engineering quality, and partner with diverse teams so that agentic systems land on real programs. You will own the trade-offs between research ambition and production reliability, and represent the agentic-AI direction to technical leadership. The work spans foundational research and applie
…About this listing
- Source: Lila Sciences's official careers site (via Greenhouse) · last confirmed on the source 29 Oct 2026
- Posted 10 Jul 2026
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What they are looking for
Skills & requirements
Qualification
What You'll Need to Succeed PhD in Computer Science, Machine Learning, Materials Science, Chemistry, Physics, or a related field, with 5+ years of post-PhD research and applied ML experience; If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply
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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