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Hands-on engineering experience in AI, Machine Learning, Deep Learning, Cloud native technologies, Linux system software development, and web tools like Gradio. Work closely with the product marketing and product management teams on defining a go-to-market and developer engagement strategy.
$150ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Previous work experience as a software engineer, data scientist or a software QA engineer with hands-on experience developing and testing code. Technical background with machine learning, deep learning, open source software, and/or GPU technology using APIs such as CUDA, Tensorflow or Pytorch.
$156,000 - $299,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Boast hands-on experience with GPUs, FPGAs, or other machine learning accelerators, including a solid understanding of HIP, CUDA, ROCm, or OpenCL. Possess a history of engagement with customers in high-tech sectors, particularly within hyperscale datacenter or high-performance computing (HPC) landscapes.
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Boast hands-on experience with GPUs, FPGAs, or other machine learning accelerators, including a solid understanding of HIP, CUDA, ROCm, or OpenCL. Design and manage a comprehensive library of technical materials, including manuals, guidebooks, application notes, and READMEs, to support and educate our customers on AMD's data center GPU solutions.
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In this role you will work as a part of a very energetic team of Education Services Content Developers to create and maintain technical training materials including lecture, hands-on lab activity, and eLearning content.
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Experience with a wide range of data analysis, machine learning and statistical modeling algorithms/techniques Expertise in Python with hands-on experience with machine learning frameworks like Tensor Flow, and packages for data sciences such as Pandas, SciPy, NumPy, etc.
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At Astera Labs, we are looking for motivated Post-Silicon Validation Engineers to work on our game-changing portfolio of connectivity products for Artificial Intelligence and Machine Learning applications.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Conduct extensive descriptive analytics on collected data Analyze, summarize and present research findings and results through presentations, reports/documents and publications. 3rd party and subcontract staffing agencies are not eligible for partnership on this position.
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Skills Strongly Desired - SoC Architecture experience Experience and domain-knowledge in at least 2-3 of these: CPU (preferably, ARM and/or RISC-V), or GPU, or DSP; SoC Memory hierarchy; NoC/Fabric; low-power design and verification; high-speed peripheral interfaces such as CSI, HDMI/DP, I3C, USB, PCIe; Machine-learning / AI; FPGA.
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Define and drive process within the fast paced field of machine learning and deep learning. Work with development teams on test plans, execution, reviews, failure analysis and assessing overall quality and risk.
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Our Emerging Technology team is looking for a hands-on Principal Engineer, Edge AI, to be the project lead and subject matter expert for the product of development of hardware-software co-design for machine learning (ML), artificial intelligence (AI) accelerators and energy-efficient edge computing devices.
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As an AI/ML Engineer Intern, you will work closely with our engineers and data scientists to develop and implement machine learning models that enhance our mortgage origination systems.
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Our client's Director of Enterprise Cloud and Infrastructure Engineering is looking to bring on a Principal Infrastructure Engineer that will report into him to help drive Cloud projects across the organization while managing his offshore support team in India.
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As a Senior Machine Learning Engineer, you will deliver mission-critical improvements and new features for our autonomy motion control stack. Hands-on application skills in any of the following areas: adaptive and nonlinear control, MPC & optimal control, robust control, data-driven control, Kalman filters, etc.
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Overview : Applied Materials is looking for an experienced software development professional, with 5+ years of relevant software design and development experience, to join a team working on the central node of a sensor data and machine-learning platform that drives optimal results for our customers.
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hands on a machine learning engineer jobs in Santa Clara, Lahaina, Hawaii
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