CuspAI
CuspAI builds an AI-driven materials discovery platform that helps R&D teams in chemicals, energy, and manufacturing design and evaluate novel molecules and materials. The company offers software and models accessed via cloud APIs and collaborations to prioritize candidates, guide experiments, and shorten lab cycles. Founded in 2024 and headquartered in Cambridge, it is a privately held startup focused on applying generative and physics-informed AI to sustainability and next‑generation materials problems.
Open Positions at CuspAI
4 open positions
Build and lead the first generation of CuspAI’s internal product ecosystem, creating full-stack applications that help researchers accelerate next-generation materials discovery. You’ll shape architecture, backend services, data workflows, and intuitive interfaces from the ground up.
Research Engineers will train and evaluate multimodal foundation models for materials discovery, working across crystal structures, scientific properties, text, and images. The role combines large-scale model training, data curation, evaluation, and close collaboration with materials scientists and chemists.
Build intelligent agents that orchestrate autonomous materials discovery, connecting machine-learning models, simulations, databases, and experiments. You’ll develop agent planning, evaluation, and sequential decision-making systems at the intersection of AI and materials science.
Three-month engineering internship developing fast, accurate machine-learning force fields for high-throughput Monte Carlo simulations. The intern will distill equivariant models, integrate them into CuspAI’s kUPS framework, and validate them for MOF and gas-adsorption screening.