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Senior research data scientist in JPL's Machine Learning & Instrument Autonomy Group, conducting R&D in machine learning (traditional, deep learning, GenAI) for imaging spectroscopy from airborne and satellite sensors like AVIRIS and EMIT. Leads small research teams, generates large-scale mission datasets, and publishes peer-reviewed work to advance robotic space exploration.
JPL's Artificial Intelligence Group is hiring a Data Scientist IV (TS/SCI required) in Pasadena to build planning, scheduling, and resource-allocation algorithms that automate spacecraft, ground station, and vehicle operations. Work centers on AI/operations research, constraint-based optimization, and development in Rust, C++, C, Python, and Java.
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