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This role is based in Toronto, Canada with time in office in Richmond Hill and regional travel. Fleet's technology helps explorers find the critical minerals the world needs, and none of that happens without field…
Senior ML Engineer at Fleet Space Technologies building and deploying machine learning models and infrastructure for satellite-enabled mineral exploration: taking research models to production, owning ML/data pipelines, GPU environments, and the MLflow experiment platform. Core stack: Python, AWS, Databricks, Terraform, MLflow.
This role can be located either in Toronto or Adelaide with hybrid working. Fleet Space is building the software platform behind ExoSphere, our end to end mineral exploration solution powered by space and AI. The…
This role can be based in Toronto or Adelaide with hybrid working. Fleet Space builds software for customers and internal teams working with geophysical surveys, geological data, interactive 3D visualisation and…
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