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5+ years of experience in data science or a related field Strong knowledge of statistical modeling and machine learning techniques, such as regression analysis, clustering, and neural networks Experience with data analysis tools, such as Python, R, or SQL, as well as experience using Azure data science technologies, such as Azure Data Factory, Azure Data bricks, and Azure Synapse Analytics.
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Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. Exposure to Okta, Infoblox, Veeam, Commvault, or Microsoft SCCM.
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Knowledge of applying machine learning to ASIC verification flow. Mission: Groq is a machine learning systems company building easy-to-use solutions for accelerating artificial intelligence workloads.
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IonQ's computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. The design workflows and PIC-based systems you design, build, and use will help drive the overall development of a new and game-changing photonics technology to enable scalable quantum computing.
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Experience in machine learning / deep learning, x-ray imaging, medical image reconstruction, or image-guided intervention systems is highly preferred. Based in Silicon Valley and backed by well-known institutional investors, our incredibly talented team of engineers, innovators and industry leaders brings years of experience from the top healthcare companies in the world, including: Intuitive, Auris, Stryker, Johnson & Johnson, Boston Scientific, Verb Surgical, Mako, Think Surgical, Medrobotics & Hansen.
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Research experience in machine learning, deep learning, and/or natural language processing. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Equilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering.
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Design and develop “Human Machine Interface” (HMI) using commercially available products such as Ignition, Wonderware, FactoryTalk View, or FactoryTalk Optix. Known world-wide for enabling companies to keep pace with digital disruption and growth objectives, we design and deliver solutions, powered by intelligent software, to optimize fast, accurate and cost-effective order fulfillment and last mile delivery.
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Electronic, information technology, machine learning, malware, photonics, processor, programming, software. - Have the opportunity to publish work externally at top machine learning, computer vision, graphics, and robotics conferences (NeurIPS, CVPR, SIGGRAPH, CoRL, etc.
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Experience with machine learning algorithms and tools (e.g., Pytorch, JAX), artificial intelligence, deep learning, and natural language processing. This is an exciting opportunity for AI or Machine Learning professionals and academics to join the brightest minds, helping Australia's most potent generative AI-powered platform unleash the world's creativity through novel tools for human-ai collaboration and intelligent systems.
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Central to Data Production is the HIPE application ( Human-in-the-Loop Processing Engine ), which uses sophisticated machine learning and carefully-designed UI/UX to help experts quickly and accurately extract data from medical records as we receive them.
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Candidates have a strong background in one or more fields: Natural Language Processing, Large Language Modeling, Computer Vision, Reinforcement Learning, or Machine Learning in general. Ph. D./Master's degree in computer science, artificial intelligence, machine learning, or a related technical field.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.
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Solid foundation in machine learning algorithms, natural language processing, and statistical modeling. Architect and optimize our existing data infrastructure to support cutting-edge machine learning and deep learning models.
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machine job Company: Dice in Columbus, MS
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