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Image processing and analysis with satellite imagery including spectral (MSI, HSI) radar or Lidar and EOIR. You will also be implementing methods in cloud environments to a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position.
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You will be at the cutting edge of implementing State-of-the-Art (SOTA) Computer Vision (CV) and Vision Language Models (VLM) for conducting image retrieval, segmentation tasks, AI-assisted labeling, object detection, and visual question answering using geospatial datasets such as satellite and aerial imagery, full-motion video (FMV), ground photos, and OpenStreetMap.
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MOD o perates, maintains and reports the status of intelligence satellites and their associated ground systems, and manages the 24-hour Operations Center which, working with U.S Strategic Command, provides defensive space control and space protection, monitors satellite flight safety, and provides space situational awareness.
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We support every phase of the development process from initial design through spacecraft decommissioning: we prepare for satellite launches, maintain spacecraft on-orbit, and develop new capabilities to enhance how customers collect and access Earth imagery.
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Knowledge, Skills and Abilities Knowledge of open source tools and technologies in nonproliferation research such as geospatial analysis, satellite and ground imagery analysis, and 3D modeling.
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Develop novel algorithms, models, and data processing schemes forElectro-Optical/Infrared (EO/IR) or Hyperspectral Imagery (HSI) data. They are the chief architects and implementers of satellite/constellation autonomy, ensuring mission level objectives are met and spacecraft health and safety are always maintained.
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Manage geospatial data collected from various sources, including satellite imagery, aerial surveys, and internally generated databases. An exciting utility-scale solar and storage operator and developer are searching for a hands on GIS Analyst to join their team and work alongside their development, land, interconnection and construction departments throughout the entire project life cycle.
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Irrigation monitoring services offered by Gradient include daily soil moisture, evapotranspiration, plant water stress index and high-definition satellite crop imagery. The Morning Star Company / Gradient Crop Yield Solutions Precision Irrigation Field Technician Gradient Crop Yield Solutions is an agriculture technology business (a subsidiary of The Morning Star Company.
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Performing field measurements of building and site components and/or performing take-offs from plans and satellite imagery. Certified as a Reserve Specialist (CAI RS) or Professional Reserve Analyst (APRA PRA) preferred.
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Develop image processing algorithms for Electro-Optical/Infrared (EO/IR) or Hyperspectral Imagery (HSI) data. Experience performing geolocation or state estimation from space-based imagery data and associated spacecraft metadata.
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Advise origination and preconstruction teams on site suitability and system design, using satellite imagery and field assessments. You have experience in the renewable energy industry, specifically in photovoltaic solar arrays and/or battery energy storage systems.
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This role will oversee all aspects of Civil design and site layouts for ground-mounted solar Photovoltaic and battery energy storage installations across ENIGE Northam. Your work will be crucial for installation contractors, geotechnical firms, permitting authorities, clients, and system owners as part of the comprehensive design of renewable energy assets.
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Design and implement solutions for internal and external customers that exploit traditional machine learning and novel deep learning for next-generation satellite imagery analytics. We own and operate the world's most advanced space-based intelligence platform and provide customers satellite imagery, automated analytics and high-frequency monitoring of strategic locations, economic assets and events from around the globe.
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Our mission is centered on delivering timely and reliable Earth imagery, supporting diverse applications in defense & intelligence, disaster response, energy, environmental monitoring and more.
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Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
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