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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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7 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing. The Core ML organization is responsible for creating a cohesive, well lit path for machine learning at Google.
$237,000 - $337,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The goal of Cloud Machine Learning (CloudML) is to innovate and deliver the best AI tech to impact the world via Google Cloud. MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
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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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Understand the state of the art of Large Language Models and other Machine Learning workloads, evaluate real usage patterns of our infrastructure to understand bottlenecks. Design, develop, test, deploy, maintain, and enhance large scale software solutions.
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Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
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