Staff Applied AI Engineer
Core
Building the next generation of decision intelligence within mission planning systems by learning from historical data, quantifying economic outcomes, and improving planning decisions through optimization and machine learning.
Role type
Staff-level Applied AI Engineer (Decision Intelligence & Optimization)
Builds
Autonomous or semi-autonomous mission planning systems (MPS) that act as digital operators for satellite constellations and sensor scheduling.
Domain
Space operations, satellite tasking, and mission planning.
Deliverable
production ML models | product features
Required skills
Python, constrained optimization, simulation frameworks, reinforcement learning, heuristic approaches, cloud-native architecture, DevSecOps, zero trust principles.
Preferred skills
Operations research, decision science, economics, geospatial systems, ITAR environments.
Technologies
Python, cloud-native frameworks, simulation environments.
Responsibilities
Develop models to attribute revenue to individual collection plans; Build counterfactual and simulation frameworks to evaluate alternative strategies; Engineer AI-driven capabilities for autonomous operator functions; Design and build systems aligned to zero trust and DevSecOps principles; Build and deploy cloud-native solutions for remote mission operations.
Seniority
Staff, hands-on IC with strategic impact.
