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Demonstrable knowledge and experience in Image Processing, Machine Learning, Signal Processing, and their applications on mobile sensor data collected in the lab and in the wild.
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Ph. D. degree and publications in machine learning, signal processing, electrical engineering, computer science, statistics, physics, or related fields. Our research lies at the intersection of computational neuroscience, machine learning, signal processing, statistics, biophysics, and human-computer interaction.
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Bachelor’s Degree, or higher-level degree, in Computer Science, Engineering, or related quantitative field that demonstrates knowledge of AI, machine learning, optimization, random processes, sensor signal processing, or mathematical modeling.
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Provide expertise in one or several areas of machine learning and data science, such as natural language processing, supervised/unsupervised learning, deep learning, reinforcement learning, etc.
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MS, or above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience What we offer you The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving.
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Data science, machine learning, optimization models, PhD 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.
$169,000 - $338,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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MS or PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Machine Learning, Information Retrieval, Data Science or related field. Experience in machine learning, deep learning, information retrieval, knowledge graphs, natural language processing or data mining.
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The lab is seeking a Science and Engineering Associate 2 to perform advanced computational engineering tasks in support of the VMR with the goal of expanding the database and making it compatible with research tasks in machine learning (ML) and artificial intelligence (AI.
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Solid understanding of HIPAA compliance and its implications for data processing and machine learning in healthcare is a plus. Master’s or Ph. D. in Computer Science, Engineering, Statistics, or a related field with a focus on machine learning.
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The ideal candidate will possess a proven background in FPGbased video/image processing with exposure to typical image processing algorithms and image sensor interfaces – implementation and evaluation with the trade-offs between visual quality, performance, and FPGA resource utilization in mind.
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Knowledgeable in Supermicro, Dell RP series servers (preferred), HPE servers, NVIDIA DGX servers (a plus), Arista and Mellanox networking HW. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics.
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Master's degree in electrical engineering with emphasis in radar image formation and/or digital signal processing. Bachelor's degree in electrical engineering, computer engineering, computer science, physics, or related field.
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As a Principal Engineer, you will have the incredible opportunity to be at the forefront of artificial intelligence, machine learning, and deep learning research and development.
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Remote friendly, hybrid compatible - we are hiring in our science hubs (Seattle, Bay Area, Silicon Slopes area of Utah), but we are remote friendly with optional weekly in-person days at a hub's local Wework.
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As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis.
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machine learning computer science image processing a plus jobs in Sunnyvale, CA
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