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Hands-on experience or familiarity with CARMA ecosystem (e.g., CARMA platform, CARMA streets, CARMA messenger, and CARMA Cloud) Experience with implementing artificial intelligence (AI) and machine learning in transportation Familiar with augmented reality (AR) and virtual reality (VR) technologies.
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We apply computer vision to numerous imagery and sensor types, such as satellite imagery, medical imaging, aerial video, synthetic aperture radar, X-Ray, and more! Use Deep Learning frameworks like PyTorch and Tensorflow to help our customers build computer vision models.
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Position Summary:As a machine learning engineer in the AI for Autonomy Lab, you will identify, shape, apply, conduct, and lead engineering research that matches critical U.S. government needs.
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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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Surveying academic research to engineer practical solutions to challenges in computer vision, sensor fusion, cognitive systems, and predictive analysis. Experience with machine learning libraries such as Caffe, Tensorflow, MXNet, CNTK, and scikit-learn.
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QinetiQ is looking to hire a Chief Engineer to lead the development of new technologies aimed at advancing the capabilities of airborne C5ISR sensor systems. 10+ years of experience leading multidisciplinary team of engineers in executing ISR and EO-IR based sensor systems projects.
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Experience designing and deploying cloud-native, enterprise-scale machine learning solutions in the AWS Cloud or with another major cloud provider. The Amazon Web Services (AWS) US Federal Professional Services team is looking for a passionate and talented Computer Vision engineer who will collaborate with other scientists and engineers to develop computer vision and remote sensing capabilities to address customer use-cases at enterprise scale.
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As a senior machine learning engineer in the AI for Autonomy Lab, you will identify, shape, apply, conduct, and lead engineering research that matches critical U.S. government needs. You have worked with tools, techniques, algorithms, software, and programming languages for deep learning, reinforcement learning, statistics, sensors and sensor fusion, planning, computer vision, or related areas.
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Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining, sensor analysis and learning techniques.
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Strategic ACI is seeking a contractor lead for Sensor Integration Engagement to provide both coordination and systems engineering expertise to accelerate the adoption of new Technologies into the NSG enterprise.
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Eight (8) or more years of experience in the following: Java, JavaScript/Typescript, Python, Angular, ELK stack, Redis, Web Services (REST), Machine Learning, Data Analytics, Android development, NoSQL and SQL databases, Xmidas, Digital Signal Processing.
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