Research Scientist/Research Engineer, Materials Data

• Work directly with lab scientists and the computational team on active research problems, staying close to the actual bottlenecks LLM agents are meant to solve.
• Investigate agent traces to identify data errors and agentic failure modes, and eliminate them at the source.
• Restructure and re-architect our materials databases (lab experiments, characterization data, computations) around how LLM agents actually reason and fail, not just around human readability. Draw on domain expertise about how to represent the data and what metadata matters.
• Work with the hardware and automation teams to make data collection more robust.
• Build research software for lab environments, translating scientific requirements into working tools.
• Distill what you learn into evaluations that measure agent performance.

• Minimum experience: 4+ years of research or industry experience in experimental or computational materials science and working with data at scale.
• Minimum education: PhD in Materials Science, Chemistry, or a related field, or equivalent industry experience.
• Location: Menlo Park, CA
• Compensation: $250,000-350,000 + equity
• Visa sponsorship: Yes, we sponsor visas.

We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible.