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We're looking a Sr. Machine Learning (Software) Engineer who bring expertise across the AI space, including ML platform design, cloud hosted AI services, foundational AI models, LLMs, Open AI, and cutting-edge AI research; our list of breakthrough products and technologies is growing at a rapid pace.
$165,000 - $188,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Job Description:Sr. Software Engineer- Machine LearningSunnyvale, CA, USDescriptionThe predictive marketing cloud, helps marketers understand and engage their customers in a personalized and omni-channel fashion, aided by predictive analytics on big data.
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As a software engineer, you will work coactively with the best in ML and data systems, building the foundation for understanding unstructured image and video data. Coactive was founded by experts who shaped the fields of high-performance deep learning and data-centric AI. We have the scars from building and working with the first generation of modern machine learning systems at Google, Meta (formerly Facebook), Pinterest, eBay, Lyft, and other leading organizations.
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Staff Applied Machine Learning Software Engineer Generative AI. You will explore and improve upon state-of-the-art research in both academia and industry and innovate in the areas of software development, model optimization and compression algorithms for Generative AI applications such as LLMs, Stable Diffusion and Multi Modal Models.
$150ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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We are doing the world-class work in machine learning, computer vision, natural language processing, speech and audio, knowledge and data mining, and transferring our work into ByteDance which are used by hundreds of millions of users around the world.
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We are looking for an innovative Senior Software Engineer to join the team. The Ads machine learning data platform team is responsible for building highly efficient and stable infrastructure to collect and process data for the usage of machine learning training, serving, and privacy enforcement, including feature engineering, feature store, training data generation, etc.
$194,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Summary: At Apple, the AIML - On-Device Machine Learning group is responsible for accelerating the creation of amazing on-device ML experiences, and we are looking for a tenured software engineer to help define and implement features that accelerate and compress large state of the art (SoTA) models (e.g., LLMs) in our on-device inference stack.
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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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As a Software Engineer, Machine Learning you will work in an award-winning team that does full-lifecycle full-stack Machine Learning platform development. Experience with machine learning or deep learning related toolset/frameworks, such as Pandas, Numpy, Scikit-learn, TensorFlow, PyTorch, etc.
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Your work will have a direct impact on billions of dollars in revenue and shape the industry's landscape through complex technical challenges in infrastructure, algorithms, and machine learning.
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If you are passionate about software engineering, reading latest literature, producing novel ideas, leading implementation of those ideas through high quality code, push the boundaries on scale and performance, then this is a perfect role for you.
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The Roku Voice team is looking for ambitious experienced software engineers with a background in one or more of the following areas: artificial intelligence, natural language understanding, machine learning, automated speech recognition, conversational systems and building large scale production systems.
$303,000 - $483,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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