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Senior Machine Learning Engineer
Fleet Space Technologies
Remote · Australia
Fleet Space Technologies builds satellite networks, seismic instruments and machine-learning tools for mineral exploration, defence and space missions, from its base in Adelaide.
Fleet Space Technologies builds space-enabled technology for critical mineral exploration, defence, and the exploration of Earth, the Moon and Mars. The company designs and operates its own proprietary satellite network alongside field data-acquisition hardware, seismic instrumentation and edge-computing systems, with engineering work spanning space systems, machine learning, multiphysics data acquisition, geoscience and 3D subsurface modelling. Its team, referred to internally as crew members, numbers more than 120, and the company is headquartered in Adelaide, Australia, with presence across Australia, North America, South America and Europe.
Its flagship product, ExoSphere by Fleet, combines the satellite network with field data acquisition, drillhole ground truth and machine learning to generate integrated 3D models of the subsurface. The platform is used by exploration teams to identify and rank drilling targets, reduce geological uncertainty and inform capital-allocation decisions. Hundreds of exploration projects have been completed globally, with customers including Ma'aden, Barrick, Rio Tinto and Inflection Resources.
A second product, SPIDER, is a seismic instrument selected for a 2026 Moon to Mars mission in support of lunar exploration. The company has launched satellites of its own, though the number is not specified.