Description
AST SpaceMobile is hiring a Fleet Scheduler Data Scientist to design, build, and operationalize AI and machine learning–powered algorithms for satellite and ground scheduling. The role focuses on large-scale combinatorial optimization, heterogeneous-graph scheduling, physics-informed predictive models, and production-grade MLOps, while collaborating with software, aerospace, network, and operations engineering teams. Candidates need a relevant advanced degree or equivalent experience, 5–7+ years of production AI, machine learning, and optimization experience, and expertise in Python, PyTorch, mixed-integer programming, constraint programming, reinforcement learning, and graph-based optimization.
