Jobs 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.

As a Technical Program Manager, you will integrate AI/ML research with materials science, manage technical projects, and collaborate with partners to drive scalable breakthroughs in materials.

Lead the technical strategy and project execution for CuspAI in Singapore, managing local teams and translating commercial needs into technical solutions. Drive growth and partnerships while ensuring alignment with global strategies.

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.