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The Camera & Photos team focuses on user-experience by applying computer vision and image processing through machine learning. This role requires an understanding of different ISP and framework components and their impact on image quality, a clear vision of what constitutes a phenomenal camera, and a strong dedication to drive features into better camera user experience.
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About the Role:The Senior Computer Vision Architect will join our growing and pioneering Artificial Intelligence (AI) practice group who will architect and develop AI-driven solutions for video comparison and pattern recognition for our for our most forward-thinking clients.
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Strong knowledge of Machine Learning and related areas, such as Deep Learning, Natural Language Processing, Computer Vision, etc. MS or PhD in Computer Science, Engineering, or similar experience.
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Proficiency in computer-aided drafting and manufacturing (CAD/CAM) software used to create system designs. Individuals who are a Certified Motion Control Professional, Certified Robot Integrator, Certified System Integrator or Certified Vision Professional from the Association for Advancing Automation may also be quality candidates.
$99,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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What You Will Do:As a Computer Vision Engineer, you will contribute to state-of-the-art machine learning infrastructure and relevant software (e.g. supervised learning, reinforcement learning, data management, and evaluation at unparalleled scale.
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Hands-on experience on developing computer vision and machine learning algorithms with focus on at least two of the following areas: object detection/segmentation, 3D scene understanding, autonomous driving, and sensor fusion.
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The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. Data driven mindset with a Bachelor’s/Master’s degree in any quantitative discipline such as Analytics, Engineering, Computer Science, Economics, Statistics or Mathematics.
$234,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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QualificationsPhD or equivalent years of experience in Machine Learning, Robotics, Computer Vision, or a related field. The OpportunityOur Computer Vision (CV) team is looking for Computer Vision Research Scientists with expertise in Video Generation, Spatio-temporal Representation Learning, Vision-as-Inverse-Graphics (including Differentiable Rendering), or related fields, to improve dynamic scene understanding for robots.
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We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges.
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The Computer Scientist will conduct basic and applied research in the areas of machine learning, computer vision and signal processing, with an emphasis on multimedia integrity and the security of machine learning systems.
$117,545 - $174,545Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Large-scale foundation models have been the powerhouse in many of the recent advancements in computer vision, natural language processing, automatic speech recognition, recommendation systems, and time series modeling.
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Your expertise lies in creating, training, and refining models, specifically those related to Computer Vision, Natural Language Processing (NLP), multi-modal, and Generative AI models. Train, fine-tune, and optimize Computer vision, Natural Language Processing, multi-modal models, and Large Language Models (LLMs) for product categorization and relationships.
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When necessary, develop custom solutions using AI techniques such as machine learning, deep learning, natural language processing, and computer vision. Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
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Deep expertise in computer vision, image processing, video processing,and machine learning for GenerativeAI. Experience with large-scale generative model training, datasets, and infrastructure.
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