
This senior applied scientist role within Amazon's Leo Satellite Build Intelligence team focuses on developing the scientific intelligence layer for satellite manufacturing. The position involves designing and deploying machine learning models, including LLM-based systems, to transform fragmented data into a unified, closed-loop system that drives production decisions. Key responsibilities include translating ambiguous manufacturing challenges into defined scientific problems, training models on large-scale noisy datasets, and building evaluation frameworks to ensure production readiness. The role appeals to candidates seeking to work at the intersection of AI and physical-world systems, offering the opportunity to influence scientific direction, mentor teams, and contribute to AI-native manufacturing processes. The position is based in California or Washington and requires U.S. citizenship or permanent residency due to export control regulations.


















