CuspAI

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.

Develop next-generation machine learning force fields and scalable simulation infrastructure to accelerate the discovery of breakthrough materials. This research-and-engineering role combines model development, distributed ML systems, molecular simulation, and close collaboration with computational chemists.

Build the first generation of CuspAI’s internal product ecosystem, helping researchers work with complex materials-discovery data. This full-stack role combines greenfield product development, backend architecture, data integration, and intuitive frontend experiences.