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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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2+ years of industry experience in supporting the development of production-ready solutions leveraging AI technologies: NLP, Deep Learning, Machine Learning. Graduate degree (MS or PhD) in Computer Science or relevant field with a focus on NLP or Machine Learning.
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The Adobe Document Cloud's AI & Innovation Team is looking for an experienced Senior ML Engineer to help with a variety of Machine Learning (ML) related projects. If you have a passion for shipping groundbreaking data-driven customer-facing features, learning new technologies every day, and working on high visibility projects with ample room for creativity, this might be a good fit for you.
$135,200 - $250,900 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a ML Platform Engineer on the Central Software (CSW) team, you will play an active role in implementing the tools, infrastructure, and pipelines that unify how our product and research teams get stuff done.
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Clarendon Center (12089), United States of America, Arlington, VirginiaSenior Machine Learning Engineer (Remote-Eligible)As a Capital One Machine Learning Engineer (MLE), you.
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Proven understanding of Machine Learning, Deep Neural Networks, Generative AI, and NLP. Python and first-hand experience with parallel programming with CUDA C/C. Proven understanding of Machine Learning, Deep Neural Networks, Generative AI, and NLP.
$220,000 - $419,750 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Apply a variety of data science techniques to tackle customer challenges to include machine learning, generative AI, natural language processing, computer vision, reinforcement learning, statistical modeling, mathematical optimization, and data visualization.
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Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency.
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You will be part of an amazing collaborative research team that publishes at the top venues in machine learning and AI. Our expertise includes tools for training deep learning models, language and code generation models, privacy preserving machine learning, probabilistic programming, inference performance optimization, and AI agents, just to name a few.
$94,200 - $223,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Business insights & Analytics using data visualization tools & machine learning methodologies. Develop and optimize machine learning algorithms for Cost estimation prediction and risk predication.
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They're looking to hire a self sufficient Machine Learning engineer who will develop and train an AI model to predict necessary services post-inspection, such as plumbing, to facilitate transaction closure.
$100,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Minimum of 8 years of experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 3 years of hands-on relevant experience using data science techniques, including statistical analysis, mathematical optimization, machine learning, deep learning, or reinforcement learning with a PhD.
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Job Purpose As a Lead Machine Learning Engineer on the National Grid Data Science team, you will develop data pipelines, take data science prototype models to production, fix production bugs, monitor operations and provision the necessary infrastructure in Azure.
$143,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Currently enrolled in a PhD program in Machine Learning, Protein Engineering, Applied Math, Statistics, Optimization, Computational Biology, or similar topics. The Machine Learning team creates models and algorithms that power an ML-in-the-loop experimental platform with the goal of designing superior AAV capsids to unlock gene therapy delivery.
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Department Summary: MITRE's Data Science department (L172) is looking for qualified applicants to bring their machine learning, advanced analytics, and applied research skills to bear on solving problems of critical national importance.
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machine job Title: learning in Bedford, MA
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