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Developing Deep Learning / Machine Learning methods for HDR tone mapping, image super resolution, image noise reduction, image classification, object recognition, sematic segmentation.
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Strong expertise in at least one of the following areas: Machine Learning/Deep Learning, Computer Vision, Natural Language Processing, Image Processing, Computational Photography, Compiler, etc.
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You must have expert knowledge of the principles, algorithms, and techniques in video and image processing, or machine learning, or computer vision technology. Minimum of 3 to 5 years of experience in developing algorithms for deep learning video compression or other machine learning systems.
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Significant experience in image processing, machine learning, or deep learning for imaging application. The individual would develop algorithmic solutions for image modeling and processing from requirements gathering, concept formulation, prototyping, to productization.
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Pytorch/Tensorflow; Image/video processing; and Machine Learning. Leverage signal processing, machine learning and deep learning techniques and optimization skills to solve technical challenges.
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Familiarity with Linux programming/Python/ROS/image processing/Machine learning/DSP programming/TI SDK experience. Familiarity with sensor modalities used in robotics and autonomous driving applications (Camera / Vision, RADAR, LIDAR, INS / IMU.
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Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for research scientists and engineers working on generative AI models for image and video synthesis to help us build the next generation of creative tools.
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The flawless integration of software and hardware has led to magical experiences in features like Memories, People & Pets and Portrait Mode. The Photos team focuses on building new user-experiences that also leverage computer vision and machine learning based image processing.
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Solid understanding of HDR image sensor technologies and applications and Experience in embedded system architecture and development. Explore novel camera image pipeline algorithms and architectures for future ISP including deep learning methods to achieve unprecedented image quality (IQ.
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Experience in scientific simulation, numerical methods, image processing, optimization, computational geometry, machine learning, data sciences is a good plus. The job requires an understanding of the signal processing, Fourier optics, optical physics, modern optimization and machine learning algorithms, and C.
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Work on end-to-end problems in domains of Graphics / Display image processing / Camera Imaging processing / CV. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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Conference papers in machine learning/data mining/artificial intelligence-related fields (KDD/WWW/NIPS/ICML/CVPR/ACL/AAAI); - Machine learning/data mining/CV/NLP/multimodal and other related competitions or industry experience.
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As part of the team you would work on core camera/ISP/Machine learning technologies including Apple crafted image signal processing pipeline and HW components, where you will have the chance to define the way that Apple develops, tests and manufactures all of its products.
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In addition to traditional DSP, Sound, and Image Processing tools, the lab should extensively leverage artificial intelligence, machine learning & data mining, and natural language processing tools and techniques.
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Relying on advanced technologies and controllable cost, Innovusion's long-range image-grade LiDAR is a market leader in the autonomous driving industry. Experience in optimization, sensor calibration, machine learning, deep learning, and computer vision is a plus.
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image machine jobs in Santa Clara, CA
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