Make better products with higher yield using specialized agents for mission critical R&D and manufacturing challenges. Backed by Greylock.
About the role
We’re building the scientific intelligence platform for the physical world , to accelerate breakthroughs in semiconductors, batteries, advanced materials, aerospace, and beyond. These industries represent trillions in spend, but are still trapped in outdated software. We’re changing that by building the intelligence layer to help scientists and engineers move faster and solve core problems -- R&D through manufacturing.
What they're looking for
- Shipped 0-to-1 products at a startup, applied AI lab, or other high-growth environments before
- Experience or deep curiosity in science
- TechCrunch
- Follow us on LinkedIn and X
More about this role
We’re building the scientific intelligence platform for the physical world , to accelerate breakthroughs in semiconductors, batteries, advanced materials, aerospace, and beyond. These industries represent trillions in spend, but are still trapped in outdated software. We’re changing that by building the intelligence layer to help scientists and engineers move faster and solve core problems -- R&D through manufacturing.
We have a once-in-a-generation opportunity to create a category-defining company at the intersection of AI and the physical sciences. And we’re building a world-class team to do it.
We recently raised a seed round led by Greylock, with participation from Neo, BoxGroup, Liquid 2, and top angels including Jeff Dean + leadership at OpenAI and AMD. Our team (ex-Applied Intuition, Glean, SpaceX, Warp, Jane Street, Verkada) works in-person in San Francisco. Our office is located walking distance from 4th and King Caltrain station.
- Translate cutting-edge AI research into production-grade systems.
- Build evals and benchmarks to rigorously measure model and agent performance across a wide variety of scientific tasks.
- Develop data ingestion and representation systems...
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