The role involves defining and building programs to support research teams across the full model development lifecycle. The individual will identify high-leverage gaps and create processes and tooling to allow researchers to focus on their work. Responsibilities include managing complex research initiatives, overseeing large-scale compute resource planning, and driving evaluation readiness for model launches. The position requires acting as a bridge between research, engineering, and product teams to facilitate execution. The role involves navigating ambiguous environments and shifting priorities to establish structure where none previously existed.

Candidates must possess a background in machine learning research or engineering with experience building technical programs from scratch. Hands-on exposure to training, evaluation, or large-scale distributed systems is required. Applicants must hold a minimum of a bachelor's degree or an equivalent combination of education, training, and experience in a relevant field. Strong stakeholder management skills and the ability to influence senior technical staff are necessary for the role.