What we do Cambrium is a molecular intelligence company engineering advanced materials that outperform.
From personal care to textiles, mobility to home care, we design and manufacture materials that deliver real results today and for generations to come.
Our platform brings together molecular intelligence and living systems to design and produce enzymes, polymers, and peptides at scale, unlocking performance characteristics that traditional chemistry could never access.
Within polymers specifically.
Our stack: we design enzymes that produce novel monomers, then combine them into block copolymers that break through the performance tradeoffs of existing polymers.
We have done this once already, and now we're making it systematic.
Polymers today are where proteins were before AlphaFold: the architectures exist, the training data doesn't.
We're building the lab and the dataset that changes that.
We are an equal-opportunity employer and value diversity.
We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration.
Your role You will be the first hire for our new Polymer AI lab.
You will lead the computational chemistry track: DFT screening, machine-learned interatomic potentials (MLIPs), and the bridge between quantum chemistry and our wet-lab dataset, while the polymer synthesis lab comes online in parallel.
You report to the CTO and collaborate daily with the Head of Polymers.
Your role is to ensure the computational layer (DFT features, MLIP physics, SCFT, active learning signals) is ready when the experimental data starts flowing.
If you do this well, within two years you're the co-architect of a polymer foundation model trained on a dataset that doesn't exist anywhere else in the world.