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Principal Scientist / Associate Director, Agentic AI Research for Materials Science

Lila Sciences· Physical Sciences AI
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Hybrid (Cambridge, MA; San Francisco, CA)$288k - $420kfull-timePosted 3mo ago

About the role

Leadership role guiding agentic AI systems for autonomous materials science experiments, combining foundational research with applied delivery, and building a scalable agentic AI program at Lila Sciences.

Responsibilities

  • Define and execute the agentic AI roadmap for materials science, including agentic frameworks and retrieval-augmented generation for multi-modal research data
  • Lead the design of agentic frameworks grounded in scientific understanding and state-of-the-art research, delivering end-to-end systems on real-world projects
  • Hire, mentor, and grow a small cross-functional team of scientists and engineers; set the bar for scientific rigor, code quality, and reproducibility
  • Partner with diverse teams at Lila to push the state of the art and integrate with experimental infrastructure
  • Track state-of-the-art in agentic AI, translate external advances into internal direction, and publish or present where merited
  • Publish in areas where science merits it; build systems that materials teams depend on; scale agentic capabilities across the materials portfolio

Qualifications

  • PhD in Computer Science, Machine Learning, Materials Science, Chemistry, Physics, or related field
  • 5+ years of post-PhD research and applied ML experience
  • Track record of building and shipping agentic systems, ML pipelines, or autonomous research workflows with measurable impact
  • Deep expertise across modern ML, NLP, and reasoning (LLMs, agentic frameworks, tool use, planning, data extraction, multi-modal data)
  • Working knowledge of materials science, computational chemistry, or condensed-matter physics
  • Proficiency in Python and ML software stack; strong reproducibility, testing, and production deployment
  • Experience leading scientists and engineers; setting technical direction, hiring, mentoring
  • Strong written and verbal communication; ability to translate between research, engineering, and program stakeholders

Skills

Required:Agentic AI systemsMulti-modal data understandingPython and ML stack

Benefits

  • Comprehensive U.S. benefits: medical, dental, vision; life and disability insurance; flexible time off; company holidays; parental leave; educational assistance; commuter benefits; subsidized lunch program
Last updated Jul 15, 2026. Interested? Apply on the company site.
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