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About the RoleYou will be leading a team of world-class engineers in Machine Learning science, redefining Merchant experience through cutting edge approaches, and providing a consistent, personalized experience to our merchants, no matter where they sit on their journey with us.
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We are excited to welcome someone who is passionate about cutting edge research in machine learning and computer vision. What you’ll do:We are hiring a Machine Learning Engineer to be involved in designing and building large-scale applications and systems to acquire, process, and store multi-terabytes of YouTube, TikTok, Facebook and other social media data.
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Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands.
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Design, setup and run computational experiments to evaluate and benchmark cutting-edge machine learning algorithms. Algorithm Development (25%) Implement machine learning, statistical, data-mining, bioinformatics/clinical informatics algorithms.
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Stay updated on the latest advancements in machine learning and NLP to ensure cutting-edge solutions. The Data Scientist is responsible for analyzing and interpreting large and complex data sets, developing predictive/ machine learning models, NLP techniques and communicating insights to various stakeholders.
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Knowledge of Robotic Process Automation (RPA), Machine Learning, Workflows, Backend, and APIs. · Quickly learn and apply the latest cutting-edge technology (i.e. artificial intelligence, robotic process automation, etc.
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Day-to-day, you'll be building cutting-edge models, working with transformer architectures for NLU, NLP, and an array of language models from LLMs to more traditional approaches. Your background should be in Machine Learning and Deep Learning, including model building, a strong understanding of algorithms and data structures.
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From developing creative new Lens features for Snapchat, to supporting the continuous growth and evolution of Lens Studio (our platform for an ever-increasing community of AR creators), to designing the cutting-edge computer vision and machine learning technology that makes face transformation Lenses possible — our Augmented Reality team is working hard on their mission to bring AR to more people, places, and moments, every day.
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The Kellogg lab uses cutting edge genetics, cryo-electron microscopy, machine-learning, and protein design to develop novel genome-editing tools. In this position, the candidate will be exposed to multiple, cutting edge techniques spanning cryo-electron microscopy, computational protein design, machine learning, and advanced genomics in a world class research environment aimed at advancing cures for genetic disorders.
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You will work on cutting-edge machine learning models and infrastructure to improve the targeting, ranking, serving, targeting, conversion optimization, and measurement of ads for millions of users.
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Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work.
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We are seeking an experienced Product Owner who is passionate about Data, with a strong background in Data Analytics, Statistics, and expertise in understanding Data Science, Data Analytics, Business Intelligence and Artificial Intelligence/Machine Learning (AI/ML) principles.
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We span functions of Artificial Intelligence and Machine Learning (AI / ML), Scientific and Technical Advisory subject matter expertise (SETA) within R&D, and the diversity of functions within Program management and strategy.
$74,500 - $231,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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CoreWeave builds cloud solutions for compute intensive use cases — VFX and rendering, machine learning and AI, batch processing, and Pixel Streaming — that are up to 35 times faster and 80% less expensive than the large, generalized public clouds.
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Meeting the challenges presented by the institutions vast breadth of Risk Management and Environmental Health and Safety (EHS) activities related to cutting-edge research and healthcare services required a creative spirit and new ways of thinking.
$88,600 - $166,600Full-timeExpandApply NowActive JobUpdated 5 days ago
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