The role involves managing systems and programs that facilitate research progress, including compute planning and the maintenance of scientific reinforcement learning environments. The individual will oversee vendor pipelines and incubate new programs within scientific domains such as bio research and development. Responsibilities include monitoring the health of research environments, driving issue resolution, and translating research goals into actionable roadmaps. The position requires coordinating across research, infrastructure, product, and data operations teams to ensure organizational velocity. Additionally, the role entails establishing processes to provide structure to research settings while maintaining efficiency.

Candidates must possess a background in machine learning engineering, research, or STEM R&D, with experience transitioning into technical program management. Hands-on experience with production-level machine learning training pipelines, reinforcement learning from human feedback systems, and large-scale data infrastructure is required. The role necessitates strong organizational, communication, and stakeholder management skills. A minimum of a bachelor's degree in a relevant field or an equivalent combination of education and experience is required.