Jobs at CuspAI

The Data Engineer will build data pipelines for materials science, ensuring data quality and collaborating with ML researchers while managing large datasets.

You will lead the development of internal applications for material discovery, ensuring they are high-quality products through collaboration and iterative design.

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.