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Data science, machine learning, optimization models, PhD 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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Demonstrated ability to reduce algorithms and theoretical knowledge to practice and produce innovative research resultsFamiliarity with machine learning frameworks such as PyTorch, TensorFlow, Julia.
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NVIDIA is seeking architects like you to help design hardware accelerator and processor architectures that enable state of the art machine learning and data analytics algorithms and applications on our next-generation mobile, embedded and datacenter platforms.
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Our FPGAs are used in a wide variety of applications, including: embedded vision; digital signal processing; machine learning; industrial and medical equipment; and satellites. This broad organizational exposure will provide an unusual opportunity for learning and advancementProven ability to provide technical and/or management leadership suitable for an architecture teamWe value articulate, creative, and self-motivated people.
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Conduct tests and benchmarks against server hardware, storage, network, applications, HPC and Machine Learning workflows. Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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AIML - Machine Learning Research Engineer, Foundation Models. Machine Learning and AI. + Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow.
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Machine Learning Applications Engineer. Experience with deep learning frameworks (such as PyTorch, Tensorflow) Experience with deep learning runtimes (such as ONNX Runtime, TensorRT.
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As a Senior Software Engineer, encompassing roles such as Infrastructure Engineering, AIOps engineering, DevOps Engineering, Network Engineering, and Automation Engineering, you'll spearhead automation efforts, collaborate with infrastructure, ML experts, and shape the future of IT operations with AI, generative AI, and machine learning.
$160,000 - $304,750 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Data Analysis: Apply statistical techniques and machine learning algorithms to analyze large datasets and extract meaningful patterns, trends, and insights. Ways to stand out from the crowd:Deep background and understanding of Machine Learning: developing, training, and applying machine learning models across large operational datasets.
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3+ years of research experience in natural language processing, machine learning, and related fields. Conduct research on Natural Language Processing (NLP), Large Language Model (LLM) and Foundation Models to address academic and industrial challenges in AI fields.
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As a NLG Research Engineer on our team, you will research, design and develop machine learning models as well as tools/pipelines for input experience across all Apple platforms. Hands-on expertise in NLP and machine learning.
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As a Sr. Manufacturing Engineer (Electrical/Avionics) at Reliable Robotics, you will be a part of the Production team and report to the Head of Production. You will be responsible for designing the build and integration process for electrical/avionics products, conducting design for manufacturing and assembly (DFMA) reviews, and developing processes and infrastructure to help the business scale.
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PhD, Master or Bachelor's in Electrical, Mechanical, or Materials Engineering. Prior experience or exposure to semiconductor/MEMS fabrication processes such as photolithography, etching, and thin film deposition.
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Our patented artificial intelligence software uses deep learning, semantic analysis, and computer vision to accurately and efficiently process intelligence from thousands of data sources, documents, and images so that organizations can better understand financial transactions and make smarter business decisions.
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The ideal candidate will spearhead the creation, evolution, and upkeep of container-driven solutions, demonstrating AI and machine learning for enhanced reliability, scalability, and efficiency in container orchestration.
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machine learning jobs Title: electrical engineer in Cupertino, CA
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