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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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Whether you join our Statistics, Optimization, or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithmsthat power solutions our partners in Marketing, Supply Chain Optimization, Search and Personalization rely on.
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Machine Learning, Product Design, Internationalization, Data Science, Personalization, Mobile, and Growth Marketing. If you have a passion for search and retrieval, emerging LLM modeling techniques and recommender system at scale, this role offers an invaluable opportunity to spearhead progress.
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Using TensorFlow to develop deep neural network models;- Using data analysis tools SQL, PySpark, NumPy, and Pandas to handle large-scale datasets; and- Using Neural Architecture Search (NAS) for feature selection, crossing structure search in large-scale recommendation system.
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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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PhD degree in Computer Science, a related field, or equivalent practical experience. Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under minimal guidance.
$133,000 - $194,000 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Whether you join our Statistics, Optimization, or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Search and Personalization rely.
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Collaborate with design, engineering, data science, and adjacent product teams to ensure Core Experience products scale and provide meaningful impact to end-users. Keep up with rapidly evolving technologies like Machine Learning, artificial intelligence, and Natural Language Search (NLS) to ensure our Core Experience products meet the needs of our customers and are delivered quickly to capture user feedback and insights to learn and iterate.
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To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Author research papers to share and generate impact of research results across the team and in the research community.
$133,000 - $194,000 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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The Core Search and Artificial Intelligence (AI) team is the leading applied machine learning team at Microsoft responsible for delivering the quality experience to over 100M daily active users around the world in Microsoft’s search engine, Bing. Beyond Bing other search engines such as Yahoo, DuckDuckGo, and new startups like You.com depend on us as well.
$133,600 - $256,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus. Focus on Architecture abstraction and process optimization for recommendation scenarios, support large-scale machine learning optimization.
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Collaborate with product, engineering, and data science teams to define strategic goals and establish a roadmap for search product development. Dive deep into technical challenges related to scale, ensuring that our search capabilities can handle new indices and mappings with increasing volumes of data and user interactions.
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Has interest in new technologies and the AI, Machine Learning and Data Science space. And you’ll face a steep learning curve & daily data science, technological and business challenges.
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Working experience with several from the following: systems infrastructure, large-scale database implementation and design, machine learning, search engine ranking, and/or web scale data science.
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AIML - Staff Software Engineer - AIML Observability Santa Clara Valley (Cupertino),California,United States Machine Learning and AI Are you a passionate software engineer looking to design and build cloud-native solutions at Apple-scale for Siri, Search and other AIML products.
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