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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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Understand thermal infrared imagery, FMV imagery, spectral, OPIR and radar data types. Understand thermal infrared imagery, FMV imagery, spectral, OPIR and radar data types. Imagery Analyst (Active TS/SCI and Polygraph Required.
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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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Demonstrated experience applying transfer learning and knowledge distillation methodologies to fine-tune pre-trained foundation and computer vision models to quickly perform segmentation and object detection tasks with limited training data using satellite imagery.
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Geo Owl is a premiere provider of Full-Motion Video (FMV), Geospatial, ISR, Intelligence and IT services to the Department of Defense and Intelligence Community. Geo Owl is a premiere provider of Full-Motion Video (FMV), Geospatial, ISR, Intelligence and IT services to the Department of Defense and Intelligence Community.
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Candidates will need to work on various sensors (PAN, IR, MSI, SAR, FMV, etc.) Imagery Analyst – Mid-level. Candidates will need to work on various sensors (PAN, IR, MSI, SAR, FMV, etc.) SJ Technologies is seeking a motivated IMAGERY ANALYST. We are looking for support in evaluating the visual quality of imagery for new systems and to quantify the changes in product quality of existing products due to system changes.
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This work requires staff that are highly advanced in their knowledge and skills within the Motion GEOINT Program and have demonstrated this knowledge and skill through their application of tradecraft as an FMV analyst.
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Bachelors degree or higher in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program; an additional 4 years of experience will be considered in lieu of a degree.
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Provide Full Spectrum GEOINT (FSG), FMV (Full Motion Video), Forensic GMTI (Ground Moving Target Indicator), Light Detection and Ranging (LiDAR), and GEOINT Analysis instruction, instructional assistance, and support for intelligence personnel and programs in support of the GEOINT training effort.
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Proficiency in Army maintenance activities and applications to include GCSS-Army, AESIP, and FMSWeb; architecture strategies and interoperability principles from tactical to strategic level operations; and systems integration and maintenance tasks for MI systems, to include IS&A FoS, Prophet, and Trojan.
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The GEOINT Scientist provides expertise in the full range of GEOINT sources and sensor types and phenomenologies to include: Panchromatic, SAR, Infrared, and multi-spectral sensors (national, commercial and airborne sources), Overhead Persistent Infrared (OPIR), Full Motion Video (FMV), Motion Imagery (MI), Hyper-spectral imaging systems, and Light Detecting and Ranging (LiDAR) systems.
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You will also 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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As an imagery analyst you will work with a team of scientists and analysts who produce imagery products for the analyst community and you will work to enhance the analysis with new data types and get an understanding of how analysts need new data to be presented in various application user interfaces where products are ordered, displayed and presented.
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