Machine Learning Engineer, Modeling & Simulation

- Create and uphold physics-based simulation models for spacecraft systems, which include structures, sensors, and mission environments - Execute end-to-end performance modeling for satellite missions, incorporating sensor, orbital, and environmental models - Carry out sensor phenomenology studies, such as optical, infrared, or radar modeling for detection, tracking, and signature analysis - Conduct orbital mechanics modeling, including orbit determination, orbital maneuvering, and spacecraft flight dynamics - Utilize scripting languages such as Python or MATLAB to automate workflows, conduct data analysis, and interface between simulation tools - Employ Artificial Intelligence/Machine Learning techniques to boost simulation fidelity and performance - Develop AI/ML models to assess and predict satellite system behaviors, performance metrics, and mission outcomes based on simulation data - Design and execute algorithms for anomaly detection, predictive maintenance, and optimization of satellite operations - Analyze data using statistical and machine learning techniques to identify patterns and glean insights relevant to satellite systems - Incorporate AI/ML models into existing simulation frameworks and tools to enhance their functionality