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RAPIDS, the open-source suite of accelerated data science libraries and primitives, brings accelerated computing to the wider analytics world by combining the performance of NVIDIA GPUs with the ease of use of Python, Apache Spark, and modern C.
$253,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will design and implement high performance AI Training pipeline, data I/O, work with open source teams to identify and resolve issues in popular libraries like Huggingface, Horovod and PyTorch, debug and optimize deep learning training, and provide advanced support for internal AI teams in areas like model parallelism, data parallelism, Zero, automatic mixed precision and kernel fusion.
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Experience with machine learning and geophysics algorithms or applications such as: deep learning, computer vision, optimization, denoising, signal processing or time-series analysis. Completed coursework in geophysics, linear algebra, signal processing, machine learning, or their equivalent.
$145,000 a yearInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Apache Spark : Develop the de facto open source standard framework for big data. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines.
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Specialists will develop deep sophistication with the technology behind the Spot product portfolio, and they will use that knowledge to source, close, and ramp software deals in NetApp’s Enterprise segment.
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This team invents and applies machine learning, data mining, and informational retrieval algorithms to understand, identify, and improve web content discovery. We are a Silicon Valley firm that brings businesses the first open and intelligent Digital Experience Platform (DXP.
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Operated by Stanford University on behalf of the DOE, SLAC develops and operates some of the world’s premier science facilities, including the first hard X-ray free-electron laser, the Linac Coherent Light Source (LCLS.
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You will learn practical modeling skills, as well as software skills to be a successful machine learning engineer. You will identify an applied machine learning problem in the enterprise search and question answering ecosystem.
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Preferred Qualifications: 2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
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Prototypes and do proof of concepts (PoC) in one or all the following areas: · LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc. · Stay up to date with the latest advancements in LLM, NLP, deep learning, machine learning, and object detection algorithms, and proactively identify opportunities to leverage new technologies for improved solutions.
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Your qualifications You have production experience with building and operating a DataLake, Data Warehouse or Data LakeHousesYou have a taste for big data streaming, storage and processing using open source technologiesYou can demonstrate your understanding of what it means to treat data as a productYou know what are Data Mashes and Data Fabrics and what is critical to make sure for them to bring valueYou are able to learn and adapt.
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The Machine Learning Engineer will work on image search infrastructure and machine learning deployment, contributing to our core technology and business. We're seeking a full-time Machine Learning Engineer for our Palo Alto-based corporate office.
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Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems.
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Advanced degree in linguistics, computer science, machine learning, cognitive science, psychology, economics, or similar (preferred). Collaborate with cross functional teams to precisely define the evaluation requirements necessary for Machine Learning/ Large Language Models implementation across different projects.
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We’re hiring a Machine Learning Engineer to join our team and help us reimagine life insurance. The ideal candidate will have a deep understanding of machine learning algorithms and techniques, as well as experience in software development and data engineering.
$167,640 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
machine open source jobs Company: Simplyapply in Mountain View, CA
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