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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)Primary Location.
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Successful completion of one or more assessments in Python, Spark, Scala, or R.Using open source frameworks (for example, scikit learn, tensorflow, torch). Preferred QualificationsOutlined below are the optional preferred qualifications for this position:Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
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Collaboration is at the heart of what we do, and you will have the chance to work closely with a diverse range of teams at NVIDIA, including the Applied Deep Learning Research teams, CUDA Kernel and DL Framework development teams, and the Silicon Architecture Team. In this position, you will actively engage with internal stakeholders, users, and members of the open-source community.
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Familiar with LLM-related algorithms, tried fine-tuning open source models. - Proficiency in data mining, machine learning tools and common frameworks (TensorFlow, Pytorch) - 5+ years experience in data structures and algorithms, familiar with one or more: machine learning, natural language processing, data mining.
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We build reliable, highly scalable and highly performing distributed systems for data analytics on Azure, we publish in top-conferences and are actively involved in open-source projects.
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You will lead the software development of large-scale distributed software systems; in Java, Python, Golang and other languages using open source technologies, and Amazon proprietary technologies.
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Open-source technologies, and Linux. You will develop hardware IP to accelerate applications in machine learning, computer vision and robotics. As a Sr. ASIC Design Engineer, you work with a team creating hardware accelerator IP to be deployed in a range of Amazon devices.
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Successful completion of one or more assessments in Python, Spark, Scala, or R, using open source frameworks (e.g., scikit-learn, TensorFlow, Torch). Proficient in data mining, machine learning, and deep learning packages in Python/Tensorflow/Keras.
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Powered by the relentless innovation of the open-source community, Cloudera advances digital transformation for the world’s largest enterprises. Cloudera is looking for a Senior Staff Backend Software Engineer to join the machine learning platform team and help drive development of Cloudera’s next-generation AI and machine learning platform.
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From open-source pros to user-experience extraordinaires, we develop products that help users connect, communicate and collaborate with others. Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline.
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We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
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3 years of experience with ML/AI algorithms and tools, deep learning and/or natural language processing. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
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At our scale, many off-the-shelf techniques and existing technologies (open source and enterprise) simply don't work. You will have the opportunity, depending on your interests and aptitude, to work on large-scale distributed systems coordinating thousands of servers in cloud and physical data centers around the world, petabyte-scale data challenges, machine learning, advanced visualizations, and interactive user interfaces – to name a few.
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As a member of the EKS Networking team, you will get to actively contribute to open source projects such as AWS VPC CNI, eBPF based network policy, AWS load balancer controller and work on next generation eBPF based network observability and telemetry.
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The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Experience in distributed source control system (such as Git.
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machine open source jobs Title: senior in Cupertino, CA
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