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As a research scientist in Document Intelligence Lab (DIL), you will provide technical leadership in research, architect and develop machine learning solutions at scale regards document structure, semantics understanding, knowledge extraction and auto-generation cross modalities (e.g. image, language and layout structure.
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Have experience applying signal processing, image processing, pattern recognition, machine learning, deep learning, or related techniques with respect to signal extraction from sensors.
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Experience with data science, machine learning, and/or artificial intelligence. Leidos Intelligence Group uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers' mission to defend against evolving threats around the world.
$118,300 - $213,850 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Founded in 2010, BrainTrust is an ever-growing and evolving company, with focus areas of Software Engineering (Machine Learning, Cloud Computing, HPC, Data Mining, HLT), Mission Operations (System Integration, Sensors, Deployment, Training, Support), and System Engineering (System Design, Requirements, Process Engineering, Resource Allocation.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with DevSecOps, CI/CD, IaC and CaC, IT Infrastructure Library, and IT Service Management.
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Ideal candidates will have a background in fields related to Earth observation and terrestrial ecology, with demonstrated interests in remote sensing science, machine learning, ecosystem structure and biomass, ecosystem modeling, and studies on habitat/diversity, among others.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Keywords: Sr Capture Manager, Business development, Program Manager, Leadership, Machine Learning, win, capture, proposals, Virginia IC, Intel Community, Intelligence Community, growth, cyber, developer, development, architecture, framework, Java Developer, Java Development, Software engineer, HPC, high performance computing, software tester, system integration engineer, systems engineer.
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Whether an aspiring or established Software Engineer, NSA has opportunity for you to contribute, learn, and grow in virtually any Computer Science focus area, including: Cybersecurity, High Performance Computing (HPC), Quantum Computing Research, Data Analytics, Machine Learning/Artificial Intelligence (ML/AI), Cryptology/Cryptography, and countless others.
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Operating industrial/production equipment, machinery (Lathes, CNC, EDM, Mills, Waterjet, Welder, Industrial Printers, Routers, 3D Printers, Electro Plating, Vacuum Casting/Forming, Injection Molding, Industrial Painting/Finishing, and Textile) and tools such as machine tools, presses, air compressors, and packaging equipment.
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You'll grow your skills in data science, AI, machine learning, operationalization, predictive modeling, and more. As an analytics professional, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
$73,100 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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Our spacecraft technologies help our civilian space and national security space sponsors reason about multiple new technologies including space-based networking, machine learning, cyber security, and image recognition.
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Have a strong understanding of, and interest in, machine learning, data science, signal processing, and/or electromagnetic theory. Learn and creatively apply machine learning, signal processing, and data science to real-world problems that no one else has previously solved.
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The Construction GPS Field Technician is responsible for installing and troubleshooting machine guidance systems on various types of earth-moving and paving equipment in the field and at customers' facilities.
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machine learning jobs Title: scientist Company: National Geospatial Intelligence Agency in Laurel, MD
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