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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Minimum Master’s degree in Computer Science, Biomedical Engineering, Electrical Engineering, or a related technical field, with 3 years of experience in computer vision and machine learning and sensor fusion, with a focus on medical imaging or other medical applications.
$124,100 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with OpenGL for graphics programming and OpenCV for computer vision tasks is a definite plus. Additionally, experience in computer graphics, computer vision, image processing, or video processing is highly desirable.
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PhD (or MS and 3 years of research experience) in Computer Science, Biomedical Engineering, Computational Neuroscience, Applied Mathematics, or related field. Our team is looking for a machine learning research scientist who has expertise in computer vision and has made contributions to the field by building new models that can infer physiological, health or comfort related signals from videos.
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With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation.
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Additionally, you will work with software developers, hardware developers and research scientists to enable an array of applications including AI, computer vision, healthcare, life sciences, autonomous vehicles, materials science, computational chemistry, quantum computing and related fields.
$156,000 - $247,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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BS/MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics or similar quantitative fields, with 2+ years of related experience. Hands-on experience in one or more of the following areas: machine learning (CV/NLP/Multimodal/Graph/LLM), statistical models and applied mathematical methods.
$194,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Ph. D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics, related field; or equivalent experience. As part of Apple's AI and Machine Learning org, we inspire and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding.
$170,700 - $300,200 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Requirements/Qualifications:Masters/PhD in Computer Engineering, Electrical Engineering, Computer Science, Math, Statistics or PhysicsAt least 15 years’ relevant research and/or work experience in programmable architectures, applications implementation, or other relevant experiencePractical coding experience in Verilog, Python, or C/C.
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Leverage computer vision, NLP, GenAI, entity resolution, Deep Learning to create the best Consumer facing menus for Merchants. Expertise in applied ML for computer vision, NLP, deep learning, embeddings, LLMs. Additional familiarity with experimentation and graph-based models.
$170,600 - $255,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technical background in cameras, imaging, and computer vision, deep learning a plus. BS in Engineering, Computer Science or similar technical Degree, MBA preferred. We focus on edge sensors spanning multiple modalities including LiDAR, radar, ultrasound and vision for Advanced Driver Assistance Systems (ADAS), autonomous vehicles, connected car, user experience and electrification applications.
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Experience in working with unstructured data, such as text or image data, and applying natural language processing or computer vision techniques. Master's or Ph. D. degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field.
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PhD in quantitative science or engineering field (Computer Science, Statistics, Physics, Mathematics, Operation Research, etc. Must currently be pursuing PhD degree in Computer Science or related field from an accredited college or university.
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You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI) in Computer Vision.
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