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This role requires working across all levels of the hardware and software stack, including GPU architecture, compilers, kernels, and Deep Learning frameworks such as JAX and PyTorch. Familiarity with common deep learning software packages like PyTorch and JAX.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We combine clinical expertise with cutting-edge technology (deep learning, computational fluid dynamics, cloud-based computing) to revolutionize the diagnosis and treatment of coronary artery disease.
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Within this ecosystem, the Neuron Compiler team is developing a deep learning compiler stack that takes state of the art LLM and Vision models created in frameworks such as TensorFlow, PyTorch, and JAX, and makes them run performantly on our accelerators.
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Experience in supporting Deep Learning, Machine Learning or HPC networking infrastructures; experience with networking technologies as well as understanding deep learning frameworks such as TensorFlow or PyTorch.
Full-timeExpandUpdated 25 days ago - UpvoteDownvoteShare Job
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The team works with various other business units within NVIDIA Software such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure & system's needs.
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The Afero next-generation IoT PaaS accelerates time to market, provides hardened security from device to cloud and from factory to customers, simplifies onboarding to help maximize customer connections, and uses data ontology to streamline machine learning.
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Familiarity with the applications of Artificial Intelligence or Autonomous Systems technologies (e.g., Reinforcement Learning, Deep Learning, Machine Learning) to sensing, perception, multi-unit planning, or command and control of autonomous systems.
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Strong experience in applied deep learning including model architecture design, model training, data mining, and data analytics. MS or PhD level education in Engineering or Computer Science with a focus on Deep Learning, Artificial Intelligence, or a related field, or equivalent experience.
$220,000 - $370,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are looking for a Sr. QA Automation Engineer - Bixby who will be responsible for expertise in AI, large scale data analysis, statistical analysis, deep learning, computer vision, robotics and language understanding to join us.
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Required Technical Skills: Deep knowledge of AI principles, including natural language processing (NLP), computer vision, and reinforcement learning. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more.
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Explore novel camera image pipeline algorithms and architectures for future ISP including deep learning methods to achieve unprecedented image quality (IQ) Experience in developing camera imaging, machine vision, and deep learning algorithms and applications.
$148,000 - $276,000 a yearFull-timeExpandUpdated 25 days ago - UpvoteDownvoteShare Job
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You’re experienced with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning, NLP, and Reinforcement Learning.
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PhD. MS in NLP, Deep Learning, or in ML infrastructure. MS in NLP, Neural Networks, Deep Learning, or related ML/AI areas. Minimum of 5 years of hands-on experience in applied machine learning including traditional ML and modern deep learning techniques.
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Deep knowledge of BI concepts and implementation experience on Cloud with databases like SnowFlake, Big Query, Cloudera. If you enjoy learning new technologies, solving challenges with little mentorship, and are comfortable proposing and implementing solutions, demonstrating Software Engineering standard methodologies, you will find it rewarding to work in GBI.
$170,700 - $256,500 a yearExpandUpdated 25 days ago - UpvoteDownvoteShare Job
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Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge.
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deep learning jobs in Mountain View, CA
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