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Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in problems from image classification to speech recognition to natural language processing and artificial intelligence.
$120,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Silicon performance analysis of High Performance Computing or Deep Learning Systems with commonly used silicon performance monitoring and profiling tools (perf/gprof/nvidia-smi/dcgm). Come join our team, and bring your experience and interests to help us optimize our next generation of datacenter hardware, deep learning frameworks and to redefine the deep learning industry once again.
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This internship is part of an ambitious effort to design and develop intelligent audio analytics capabilities at the intersection of deep learning and audio signal processing with diverse application domains ranging from physical security to intelligent and connected vehicles.
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Advanced knowledge in computer programming (preferably R or Python), machine learning, deep learning, natural language processing, and applied statistics is required. We are encouraging applicants with strong research background in data science, machine learning, or natural language processing with a focus on biomedical applications.
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Expertise in developing, testing, and evaluating deep learning models. 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, and human data collection in laboratory and field environments.
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Image Processing, Computational Imaging, Computer Vision; Practical experience with Deep Learning, Machine Learning, or Artificial Intelligence, for images, is preferred; Capable of prototyping Algorithms using MATLAB or Python, and implementing algorithms in C.
$91,200 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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GE Aerospace Engineering is looking for a Senior Deep Learning Engineer who is passionate about applying human-AI interactions, such as conversational AI, chatbots, search engines, simulation, pre-training for embodied agents, and embodied AI, bringing to bear foundational knowledge from areas such as deep learning, LLM, NLP, computer vision, reinforcement learning, computational statistics, and applied mathematics.
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Passionate for Music & Data Engineering?
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Experience with cloud platforms such as AWS, Azure, or Google Cloud, and proficiency in using relevant tools and services for deep learning development and deployment. Requirements Key Responsibilities: Model Development: Design, implement, and optimize deep learning models for a wide range of applications, including image recognition, natural language processing, and autonomous systems.
$150,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The Learning Specialist will also help the Learning Manager to coordinate a team of certified trainers. Located in Kennesaw, GA the Learning Specialist schedules and delivers training and development to Devereux employees and community programs (Specialty Foster Care and CCI Program) using a variety of instructional strategies and activities suited for adult learners.
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Programs on 5G, quantum computing, artificial intelligence, deep learning, quantum computing and from artificial intelligence and deep learning to cyber. programs on 5G, quantum computing, artificial intelligence, deep learning.
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Collaborate with deep domain experts in fields like ML and NLP. Our engineers made major contributions to projects such as TensorFlow at Google. We were founded in January 2016 by former executives and engineering leaders from Google and Uber. We are funded by some of the world's best investors and entrepreneurs including Founder's Fund, Khosla Ventures, First Round Capital, Eric Schmidt (Google/Alphabet Chairman), Marc Benioff (Salesforce Founder), Joe Lonsdale (Palantir Founder), Joshua Kushner (Oscar co-Founder) and Garrett Camp (Uber co-Founder.
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The role will project manage and drive critical initiatives tied to our Employee Value Proposition in Learning and Development that directly impact the success of employees across all Saint-Gobain North America's businesses.
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Are you an experienced Learning & Development Manager with experience who has launched an LMS? Long established manufacturing organization is seeking an experience Learning & Development Manager in Chicago for a hybrid opportunity, great pay & benefits.
$105,000 - $115,000 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Deep knowledge and experience with machine learning algorithms and libraries. As a machine learning engineer, you’ll have the opportunity to immediately drive a huge, direct impact for Propel.
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Title: deep learning Company: Lawrence Harvey
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