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The following experiences will be a big plus: - GPU based high performance computing, RDMA high performance network (NCCL);- Tensorflow, Jax, PyTorch or other deep learning frameworks;- Large scale data processing and parallel computing;- Experiences in designing and operating large scale systems in cloud computing or machine learning.
$136,800 - $280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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In Computer Science, Data Science, Electrical Engineering, Mechanic Engineering Mathematics, or Physics with some research background in the area of machine learning, natural language processing, or software engineering.
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NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can take on, and that matter to the world. As a member of our Mixed-Signal high-speed I/O SerDes group, you'll be working on NVDIA's latest ground breaking technology that enables and accelerates gaming, artificial intelligence, deep learning, and autonomous driving.
$156,000 - $287,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Gridmatic Inc. is a high-growth startup with offices in the Bay Area and Houston that is accelerating the clean energy transition by applying our expertise in data, machine learning, and energy to power markets.
$169,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Expertise in and understanding of manufacturing and operational fundamentals, such as Quality Control Plans (QCP), Statistical Process Control (SPC), Change Control Board (CCB), Material Review Board (MRB), Machine and Process Buy-off (MBO/PBO), pFMEA, overall equipment efficiency (OEE), units per hour (UPH), etc.
$204,000 - $281,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), or applied ML (e.g., deep learning, natural language processing). Understanding of advanced Machine Learning development, with the ability to work full-stack from API design to programming languages, runtimes, compilers, and advanced hardware.
$189,000 - $284,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You and your team will help advance NVIDIA's leadership in applying deep learning to tackle real-world problem in Autonomous Vehicle (AV) domain and other such embedded opportunities. and NVIDIA Deep Learning Accelerator (NVDLA) for Embedded and further build NVIDIA Inferencing story.
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Shoreline AI’s patented, AI/ML-driven, fully cloud-managed Asset Performance & Predictive Maintenance (APM/PdM) Software & Smart sensor Platform requires no expensive experts to deploy, no upfront CapEx costs, and no data-scientists; to operationalize within minutes per asset, thereby delivering powerful machine-specific analytics with unmatched ease.
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In-depth knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and other AI technologies. When necessary, develop custom solutions using AI techniques such as machine learning, deep learning, natural language processing, and computer vision.
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Our Total System Solutions portfolio empowers innovation within major market megatrends, including 5G, IoT/Edge, ADAS/Autonomous Driving, Computing, Data Centers, EVs, and AI/Machine Learning.
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As a Machine Learning Intern, you will work closely with our data science and engineering teams to develop and implement machine learning algorithms for accurate energy forecasting, contributing to the optimization of our thermal battery systems and renewable energy projects.
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As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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You're excited to adopt new manufacturing technologies, actively seeking the latest machine design trends, and can demonstrateacreative design process. You have a solid understanding of PLC ladder logic programming, machine G-code, or other machine control software languages such as Codesys.
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These range from sound digital radiography, full Abaxis chemistry and haematology analysers, element coag machine and sonogram equipment. Santa Clara is also home to several cultural attractions, including the Triton Museum of Art and the historic Mission Santa Clara de Asis. Additionally, the city is conveniently located near major attractions such as Levi's Stadium, home of the San Francisco 49ers, and California's Great America theme park.
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machine learning jobs Title: devops engineer Company: Twitter in Cupertino, CA
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