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NVIDIA is looking to hire a Senior Distributed Acceleration Engineer to work on RAPIDS, a suite of open-source software libraries that accelerates end-to-end data science and analytics pipelines on GPUs. RAPIDS relies on NVIDIA CUDA for low-level compute optimization but exposes high-performance GPU computing through user-friendly Python interfaces.
$276,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technical background with machine learning, deep learning, open source software, and/or GPU technology using APIs such as CUDA, Tensorflow or Pytorch. Previous work experience as a software engineer, data scientist or a software QA engineer with hands-on experience developing and testing code.
$299,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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The ArcGIS platform is an expansive spatial data science platform, incorporating both specialized geospatial data science tools and cutting-edge open source components, helping our users develop workflows that power modern business and make the world a better place for future generations.
$194,688 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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We build open-source software tools to accelerate science and generate more accurate and biologically important sources of data. CZI's work in science includes grant-making programs, open-source software development, and close collaboration with its partner institutes at the Chan Zuckerberg Biohub Network.
$285,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Experience working with modern machine learning tooling, including PyTorch, TensorFlow, and JAX.
$237,000 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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This includes high-performance computing (HPC), cloud platforms, modern software development tools, petabyte-scale storage, and advanced machine learning and artificial intelligence systems.
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Experience with Machine Learning Libraries and Frameworks: PyTorch, TensorFlow, Keras, Open AI, LLMs ( Open Source), LangChain etc. Title: Software Engineer (Python, R, Go, Java, C#) Location: Bangalore, Karnataka, IN, 560071 Requisition ID: 127773 Job SummaryMember of a software engineering team involved in development & design of AI Data Platform built on NetApp’s flagship storage operating ONTAP. ONTAP is a feature rich stack with its rich data management capabilities that has tremendous value to our customers and are used in mission critical applications across the world.
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Job Segment: Test Engineer, Software Engineer, Cloud, R&D Engineer, Developer, Engineering, Technology. Experience with Big Data Technologies: Understanding big data technologies and platforms like Spark, Hadoop and distributed storage systems for handling large-scale datasets and parallel processing.
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We work on novel technologies including analytics on GPUs, container technologies, graph databases, infrastructure and models for LLMs and data-science, machine learning for systems, and many other areas.
$229,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Java, machine learning, malware, processor, radar, schematic, software engineer. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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If you're a data driven Python Engineer who has an interest and understanding of Machine Learning then this is the role for you! Understanding of Data Science and Machine learning.
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We are looking for an engineer who is obsessed with giving customers the best possible developer experience, has strong development skills, and is excited to build high-quality open-source software in a fast moving, agile environment.
$129,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Typically, these problems are related to Machine Learning Platform & Solutions and Big Data. We work on many high-impact projects that serve various Apple lines of business. You will collaborate with diverse cross-functional partners, including model developers, machine learning systems engineers, data scientists, application developers, and product managers.
$243,300 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Position Purpose: The Software Engineer Principal specializing in Machine Learning is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users love.
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Technical background with machine learning, deep learning, open-source software, Artificial Intelligence/Machine Learning Developers. Our Software Engineer are responsible for designing, developing, and integrating software solutions.
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