Orbital Sidekick
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Implement image processing algorithms in a production environment, collaborate with various teams, and have extensive knowledge of Python and geospatial data.
Machine Learning Engineer responsible for building machine learning infrastructure for a team of data & remote sensing scientists, optimizing resources, deploying models, and setting up MLOps. Must have experience in Python, Pytorch, and cloud environments like AWS. Benefits include competitive compensation, equity packages, and company-sponsored benefits.
The Space Operations Engineer will be responsible for modeling tasking scenarios for a constellation of hyperspectral satellites, performing trade studies on orbit positioning and maneuvers, interfacing with the operations and software team to execute targeted tasking, troubleshooting payload on-orbit anomalies, optimizing camera and optical systems, and developing software capabilities for satellite and aerial hyperspectral images.