Teams at CuspAI

Lead partnership strategy and deal architecture in Europe to identify high-value materials use cases (semiconductors, catalysis, separations, energy). Build commercial playbooks, translate technical AI/materials needs into project scopes, generate pipeline and market insights, and coordinate multi-party collaborations to scale pilots into long-term strategic alliances.

As an ML Research Engineer, you will develop computational methods and infrastructure to enhance molecular simulations and machine learning force fields for materials discovery.

The Applied ML Researcher will develop and implement generative models for material design, focusing on inorganic crystals while collaborating with a multidisciplinary team and integrating models into CuspAI's platform.