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

Highlights

• Own agentic AI roadmap for materials science at Lila.
• Build autonomous agents that plan, run, and interpret materials experiments.
• Ship agentic systems that materials teams depend on daily.

What they offer

• Competitive base compensation with bonus potential
• Generous early-stage equity
• Medical, dental and vision coverage (U.S.)
• Employer-paid life and disability insurance
• Flexible time off with company-wide holidays
• Paid parental leave
• Educational assistance program
• Commuter benefits and subsidized lunch program

Ideal candidate

A player-coach researcher with deep ML and materials intuition who loves owning ambitious roadmaps, mentoring small teams, and shipping autonomous systems that move discovery to machine pace.

Requirements

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