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Hands-on experience in NLP algorithm development, machine learning, and deep learning for text analysis and processing. This role requires expertise in NLP techniques, machine learning, and proficiency in programming languages used in NLP research and development.
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And we’re pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. The Embedded Systems Engineer II will collaborate with global Engineering and Operations teams to apply a platform use approach to all new designs while gathering and implementing design considerations for use in multiple product categories.
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Ph. D. with 0-2+ years of relevant fields with a focus in Artificial Intelligence or Machine Learning development and applications to molecular design. Incorporate data knowledge into development and application of suitable machine learning algorithms to produce meaningful predictive models.
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The team is made up of machine learning researchers and engineers, who support and innovate production recommendation models and drive product impact. - Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.
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Preferred expertise includes patent prosecution in electrical engineering or software-related technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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The individual should hold a degree in electrical engineering or computer science, with a preference for experience in patent prosecution related to electrical engineering, software technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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Preference will be given to candidates with experience in patent prosecution related to electrical engineering, software-related technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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You will work within a multi-disciplinary team with computational expertise in machine learning (ML), molecular simulation, optimization, and protein structure bioinformatics, and interface with our experimental team generating large datasets with novel high throughput assays aimed at informing predictive model development.
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The role requires expertise in electrical engineering or computer science, with a preference for additional experience in patent prosecution related to software, data science, AI, networking technologies, and machine learning.
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Clemson University's Bioengineering Department is seeking applicants for a tenure-track faculty position at the Assistant Professor level in the areas of Biomedical Artificial Intelligence, Machine Learning, Biomedical and Health Informatics, or Multivariate Analysis.
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Successful machine learning engineers on the team are just as motivated to design and evolve great compound AI systems and their components as they are to train great models. Apply software engineering, machine learning, and compound AI system engineering to create lasting value for all our customers.
$257,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Your projects will entail a balanced mix of research and exploration, product integration, and infrastructure/data. Collaborating closely with vertical teams, you will design and integrate ML techniques into product features.
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Responsibilities:Data Science Strategy: Develop and implement Statistical, Machine Learning, Deep Learning, NLP, Gen AI modeling, development and fine-tuning strategies, best practices, and standards.
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Research and develop hybrid machine learning and physics-based software solutions for semiconductor device and thin film metrology. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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electrical machine learning product development jobs Company: Apple
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