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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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Experience with or an interest in Machine Learning, Circuit Design, Signal Integrity, or FPGAs is a plus. We're looking for someone to join a team committed to understanding and improving the operation of quantum-dot-based spin qubit systems by working at the forefront of advanced spin qubit measurements and bridging another field of study including electrical engineering, software engineering, data science, or systems engineering.
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We integrate off the shelf and new development efforts to sustain and enhance the NMEC architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We develop cutting edge software applications that will improve the future of software capabilities, airplane and flight controls, cyber security solutions, artificial intelligence, machine learning, and much more.
$112,200 - $151,800 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We combine best of breed engineering practices, subject matter expertise, design services, computer science, and data analytics with innovative approaches in artificial intelligence and machine learning, AR/VR, R&D, and physics-based modeling and simulation providing tailored solutions addressing our customer’s unique threat requirements.
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Knowledge and interest in interdisciplinary work spanning Systems Engineering, Modeling and Simulation, Trade Space Exploration (TSE), Machine Learning and Data Engineering. The Division works across multiple domains such as Navy, Air Force, and Missile Defense Agency, Strategic deterrence systems; Electronic systems; Space systems; and Biotechnology systems.
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The selected candidate will have broad experience and expertise in applied of AI/ML such as the following: Machine Learning modeling experience Decision Trees, Random Forest, Support Vector Machines, Logistic Regression, Neural Network Architecture, and/or other techniques; basic cloud development experience in AWS, Microsoft Azur, or similar cloud; coding experience with Python, R and GitHub/GitLab; working experience with Linux based systems RHEL, Ubuntu, and/or other Debian operating systems.
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Our systems apply state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies to form a rich live view of objects in the sky, on the sea, and on the ground.
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