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Role Overview: We are looking for a seasoned Principal / Director Machine Learning Engineer with over 10 years of experience in radar and RF signals, video and image processing, or classification, along with deep expertise in real-time signal processing and embedded systems.
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Develop, implement, and optimize cutting-edge machine learning algorithms related to image processing, signal processing, RADAR, and Synthetic Aperture Radar (SAR). Minimum 5 years of experience in a similar role, with a focus on machine learning, image processing, signal processing, RADAR, and Synthetic Aperture Radar (SAR.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Research and develop advanced machine learning algorithms and techniques in application areas including radar, electronic warfare, sonar, SIGINT, RF geo-location, and image processing.
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Experience with digital cartography, image processing, computer technology, GIS software, geospatial production techniques, remote sensing, and photogrammetry. In-depth expertise and experience in GEOINT image processing techniques and phenomenology for overhead collection systems (EO, IR, SAR, and other ISR platform sources.
$184,800 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience: 10+ years of experience in machine learning, with a strong focus on radar and RF signals, video and image processing, classification, real-time signal processing, and embedded systems.
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Metalenz, a Boston-based venture-backed startup built on foundational research from Harvard University, develops next-generation imaging and sensing solutions for high-volume consumer electronics markets using patented low-cost metasurface technology, advanced image processing, and novel machine learning algorithms.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Demonstrated experience designing and building scalable production software solutions and architectures, especially for machine learning or image processing. Design and implement image processing pipelines and software services to assist researchers developing computer vision solutions for next-generation satellite imagery analytics.
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Our software engineers work on software that control the imaging process, as well as the software to lead high bandwidth and data for image processing. KLA makes various products that combine very high-speed imaging, up to 60 GBps, with high performance image processing.
$160,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Previous experience with machine vision software (camera control, image processing) and/or imaging and characterization hardware (optical, acoustic, or thermal sensors). · Experience, understanding of digital image processing or digital signal processing.
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Familiarity with fundamentals of digital signal & image processing , computer graphics, computer vision, machine learning or computational photography. On the software+hardware side, Glass's innovative camera architecture combines a new type of lens with state-of-the-art AI algorithms to form an image on a large image sensor while keeping the overall thickness of the camera module thin enough to fit in any smartphone, and deliver DSLR quality results.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. If you find image processing is not just about coding, if you are comfortable with using convenient software (e.g., Photoshop, GIMP, ImageJ, etc.
$120,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with camera technologies and optical science, strong knowledge in three or more of the following areas: geometric optics fundamentals, image sensor and pixel fundamentals, image quality evaluation, validation and metrology techniques for imaging, and computer vision and machine learning fundamentals.
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This is a difficult hands-on engineering challenge that integrates biophysics, image processing, deep learning, novel electronics, ultrasound, and real-time signal processing.
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The Vertex AI Machine Learning Engineer will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. Google Cloud Professional Machine Learning Engineer certification.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate will have a strong background in remote sensing and be proficient in LiDAR processing and deep-learning image analysis. This role focuses on image processing, data analysis, and modeling from aerial, satellite, and radar imageries, as well as LiDAR data.
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