The SpaceMobile Network Our BlueBird satellites provide full broadband directly to standard smartphones without specialized hardware or phone modifications. Make video calls, browse the web, and use your apps at 4G and 5G speeds from anywhere on Earth.
About the role
We are seeking a Fleet Scheduler Data Scientist to define, build, and operationalize algorithms that optimize and control this network. This role will lead the design and deployment of AI and ML powered large-scale combinatorial optimization algorithms that drive predictive planning and reactive real-time control loops.
What they're looking for
- 5-7+ years delivering AI, ML, and other optimization systems in production environments
- Demonstrated experience solving large-scale combinatorial optimization problems (e.g., scheduling, resource allocation, logistics, network capacity)
- Strong background in traditional optimization methods, including mixed-integer programming, constraint programming, or related techniques
- Experience modeling and solving large-scale problems represented as graphs or heterogeneous graph structures
- Strong Python and ML/optimization tooling (e.g., PyTorch)
- Experience building data pipelines and deploying models into operational systems
More about this role
AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today’s five billion mobile subscribers and finally bring broadband to the billions who remain unconnected.
We are seeking a Fleet Scheduler Data Scientist to define, build, and operationalize algorithms that optimize and control this network. This role will lead the design and deployment of AI and ML powered large-scale combinatorial optimization algorithms that drive predictive planning and reactive real-time control loops. This role requires a deep understanding of state-of-the-art techniques in combinatorial optimization of heterogeneous graphs for system scheduling, and must develop an understanding of a host of underlying systems and subsystems to efficiently incorporate their features into both predictive and reactive action planning loops. This person will work in coordination with software engineers to implement the...
Browse similar: Startup jobs