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Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently.
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PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 2+ years relevant experience is preferred but not a must; OR.
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Experience developing deep learning models in at least one of the following areas (CV, NLP, Reinforcement Learning) The Lytx Labs Team develops machine learning and computer vision algorithms to monitor and assess the state of drivers and their environment to identify risk and improve safety for our clients.
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We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver communication libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. We are looking for a Distinguished Software Architect to help co-design our next generation data center platforms.
$304,000 - $460,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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2+ years of experience with Deep Learning, and AI Infrastructure including Diagonostic, Profiling and Performance Analysis Tools. 4+ years of experience in High Performance Computing (HPC) or Machine Learning.
$112,000 - $218,400 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Deep hands-on understanding of deep learning and other ML algorithms with hands-on experience running pilots and POCs to demonstrate capabilities to prospects. - Experience interfacing with GenAI/ML customers and partners, with deep understanding of GenAI market landscape, ecosystem, and ability to articulate technology and value proposition.
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Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.
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Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. Development of scalable solutions and new capabilities for the next generation of data labeling to support machine learning development.
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Familiarity with one or more deep learning software frameworks, e.g. PyTorch. What You’ll Do:Design and build improvements to our unique machine learning algorithm that improve Community Notes’ helpfulness, accuracy, scale, speed, and manipulation resistance.
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Experience building and using state of the art models such as deep learning in NLP or computer vision or similar application. Experience with deep learning in NLP and knowledge of language embeddings.
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MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related technical fieldStrong understanding of ML techniques such as CNNs, supervised and unsupervised learning, optimization techniques, etcExperience with one or more of popular Deep Learning frameworks such as Caffe, TensorFlow, TheanoExperience in a fast-paced work environment, shipping quality code quickly and iteratingWhat We Offer.
$500,000 - $1,000,000 a yearExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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You have a deep knowledge of Javascript (preferably TypeScript), Node.js and AWS cloud (or equivalent stack) and can enforce best practices while mentoring other engineers to become masters of their craft.
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Provide guidance for the development of future generations of deep learning processors and network hardware. The software architecture group at NVIDIA has openings for Deep Learning Architect.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Minimum of 5 years of experience in machine learning or deep learning engineering or demonstrated proficiency in Natural Language Processing (NLP) or Natural Language Generation (NLG.
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5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful.
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