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Join our team and put your skills to the test by compiling geographic data from various sources - including censuses, field observations, satellite imagery, aerial photographs, and existing maps.
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The Computer Vision and Remote Sensing Software Group at Applied Research Associates, Inc. (ARA) is looking for an experienced Software Engineer to join our team of developers operating at the forefront of Computer Vision technology applied to satellite imagery.
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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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We are specifically looking for interns with experience or coursework in at least one of the following areas Compiling and coding qualitative dataMapping and satellite imagery Please indicate in your cover letter which of the above skill sets you have.
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As an industry-leading earth observation satellite imagery provider, Maxar unlocks the promise of space to help governments and businesses solve problems on Earth and beyond. Collaborating with our radar and research scientist experts to solve issues and iterate to improve image product quality.
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The Fugro Hydrography Service line conduct seabed mapping from the coastline and hazardous shallow water to full ocean depths using a suite of hydrographic surveying technologies, including satellite imagery, airborne lidar bathymetry (ALB), and acoustic sensors.
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Our product runs a data production pipeline that processes a high volume of satellite imagery automatically to generate realistic, simulation- and game-ready textured 3D geometric models of real-world scenes for leading edge government research programs.
$117,525 - $195,875 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Geospatial, location-enabled, and satellite imagery data are quickly becoming a critical and valuable source of information and insights to a broad array of industries, from logistics and insurance to financial or climate tech companies.
$150,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with source configuration management tools such as Git. CI & CD development experience with technologies like Bash, Jenkins, or GitLab. Experience with automated deployment technologies such as Cloud Formation, Ansible, Puppet or Chef. Cloud Technologies deployment experience.
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Maxar is a leader in the field of signal and image processing. Diversified healthcare and investment options including multiple medical plans, an HSA and access to our concierge doctor as well as a competitive 401(k) plan.
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Experience in satellite communications, telecommunications, imagery, sensors, radar, and/or similar systems. Providing expertise in satellite communications technologies that can be used to effectively improve AMO mission effectiveness.
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KBR is seeking a highly qualified GEOINT Imagery Scientist to provide Systems Engineer Technical Advisor (SETA) support for the Mission Operations Directorate (MOD). MOD operates, 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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Provide fusion of new, groundbreaking intel disciplines into assessments through incorporation of historical FMV data, optical images, non-optical images, satellite images, radar, or other intelligence information to enhance intelligence products.
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As a Senior GEOINT Imagery Scientist, you will support our customer in Springfield, VA understand and implement the most efficient strategies to acquire the data they require using your understanding of various collection platform capabilities and applications.
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Have experience applying AI/ML to real-world data such as satellite imagery, remote sensing data, climate data, materials data, omics data, or additive manufacturing related data. jhuapl.edu/isc), develops novel AI methods to transform climate intelligence and earth systems research, as well as accelerate scientific discovery and design for materials, protein engineering, and other physical and biological systems.
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