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We sre seeking experienced data scientist to solve cutting-edge metrics and measurement problems in the space of Search, and lead cross-team initiatives. If you are passionate about working on the latest and hottest areas that will help you develop skills in Artificial Intelligence, Machine Learning, data science, scale systems, UX, and product growth, this is the team you’re looking for.
$133,600 - $256,800 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a Senior Machine Learning Scientist, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the search and personalization experiences at the heart of our fast growing grocery and retail delivery business.
$170,600 - $255,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Key job responsibilitiesAs a Principal Applied Scientist in Search and Shopping, you will have deep expertise in machine learning and data science, with specialties in large language models, reinforcement learning, supervised learning, and generative AI across various modalities.
$179,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Senior Principal Applied Scientist in Search and Shopping, you will have deep expertise in machine learning and data science, with specialties in large language models, reinforcement learning, supervised learning, and generative AI across various modalities.
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Experience in machine learning, deep learning, information retrieval, natural language processing or data mining. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from multiple sources to provide the user with results that best satisfies their intent and information seeking needs.
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The Senior Data Scientist in the Ads team at Sam's Club, a division of Walmart Inc., occupies a pivotal role in supporting and advancing Machine Learning (ML) implementations that drive innovative advertising solutions.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We are working on a new AI-first initiative to re-architect and reinvent the way we do search through the use of extremely large scale next-generation deep learning techniques. Our goal is to make step function improvements in the use of advanced Machine Learning (ML) on very large scale datasets, specifically through the use of aggressive systems engineering and hardware accelerators.
$136,000 - $222,200 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
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Design and build large-scale machine learning algorithms to deeply optimize e-commerce search engines such as ranking, query analysis, and correlation calculation and various business indicators of sorting scenarios, including relevance, click-through rate, conversion rate, etc.
$145,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
$133,000 - $194,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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As a Research Scientist, you’ll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies.
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