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Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. - Optimize the recommender system, focusing on hyperscale machine learning models.
$210,000 - $358,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In this organization, you will be responsible for contributing extensions to the TensorFlow and PyTorch machine learning frameworks and for developing cross-framework solutions to support training of Deep Learning models at scale, involving thousands of accelerators.
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Expertise in areas of artificial intelligence, machine learning, data analytics and/or data managementExperience with multiple product delivery models including packaged software and as-a-service delivered solutions Excellent communication and collaboration skills, with ability to interact with stakeholders at all levels of the organization.
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Leverage advanced data analytics and machine learning techniques to improve decision-making and operational efficiency Head cross-functional teams to design and optimize the layout of factories, equipment, workstations, and production lines.
$150,300 - $265,200 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The DAT Performance Processor team develops and delivers software for advanced features that make use of machine learning and artificial intelligence in support of features such as Blue Cruise, Pro Trailer Backup Assist, and Pro Trailer Hitch Assist.
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1+ year of experience with deep learning or machine learning. 2+ years of machine learning or deep learning experience. Familiarity with TensorFlow, PyTorch, or other Deep Learning Frameworks as well as direct development experience with NVIDIA software and SDKs.
$100,000 - $195,500 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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We are seeking a highly skilled and experienced Staff Machine Learning Engineer to join our Risk Engineering Team. The ideal candidate will be adept in developing and implementing advanced machine learning models to enhance our capabilities in fraud detection, for example bot detection, credit card chargeback prevention, promotion abuse protection and so on.
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Solid foundation in data science, deep learning, computer vision, machine learning. The Data Analytic and Quality (DAQ) group is seeking a Machine Learning/Data Scientist to specialize in the evaluation of multimodal foundation models.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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A tech lead role to lead and deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile performance ads market. Solid theoretical background in machine learning and/or data mining.
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Experience with machine learning, NLP, and neural networks is a plus. Although we're barely 3yrs old, we have over 5,000 clients (Google, Apple, Netflix, Nike, Accenture) and have brought over 200,000 people together so far.
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We provide industry-leading managed services that drive Quality for Quality Assurance and Testing of hardware devices, software apps and experiences as well as Ground Truth Data Services for artificial intelligence (AI) and machine learning (ML.
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We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. Apple Senior Machine Learning Engineer Cupertino , California Apply Now To view your favorites, sign in with your Apple ID.
$199,800 - $300,200 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded.
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Experience with CUDA programming and NVIDIA GPUs. Experience with DL and Machine Learning algorithms. What You'll be Doing:Study and develop innovative techniques in bioinformatics, graph algorithms, machine learning, and perform detailed performance analysis and optimization to ensure optimal performance on current and next-generation GPU architectures.
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machine learning jobs in Cupertino, CA
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