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An advanced degree (Undergrad, M.S. or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or 10 + years of proven experience crafting optimization and machine learning solutions for large scale applications.
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Our team is dedicated to identifying and interpreting genetic signal at the scale of thousands of phenotypes and millions of individuals, making the knowledge gleaned from genetics accessible to AbbVies R&D community, and using data science and machine learning to maximize the value genetics brings to AbbVie.
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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.
$158,500 - $276,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Team video Key job responsibilitiesAs an Applied Scientist on this team, you will:- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
$136,000Full-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Applies advanced data science, machine learning, and deep learning algorithms necessary to derive insights and develop solutions on enterprise-scale providing a competitive advantage.
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Rich experience in ML/CV/NLP, including but not limited to: large-scale machine learning industry experience in recommendation, search, advertising, etc. Responsible for the international content security business, participating in content security business process optimization, exploring the use of advanced technologies such as multi-modal content understanding/large-scale machine learning/LLM, and building the industry's top content governance platform.
$145,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Candidates with research or technical backgrounds in NLP, code generation, large pretrained models,or participating in large-scale online machine learning platforms are preferred.
$177,688 - $266,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of SQL and various statistical modeling or machine learning techniques. This position gains experience in various areas including, but not limited to: predictive modeling; personalization and recommendation algorithms; search recall, precision, ranking, and related problems; sensor fusion models, optimization and mathematical programming with applications in labor scheduling, capacity planning, and inventory optimization.
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As such, our research spans many Machine Learning areas, including deep learning, search and recommender systems, causal inference, reinforcement learning and bandits, computer vision, computer graphics, natural language processing, and computational advertising.
$100,000 - $720,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Own development of state of the art machine learning, deep learning algorithms and techniques leveraging text, images, and video for analyzing and transforming content to build world-class search and information retrieval products that have the potential to transform billions of peoples lives.
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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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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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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.
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Author research papers to share and generate impact of research results across the team and in the research community. XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Mountain View, CA, USA; New York, NY, USA; Kirkland, WA, USA; Sunnyvale, CA, USA; Cambridge, MA, USA.
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The US base salary range for this full-time position is $133,000-$194,000 + bonus + equity + benefits. PhD degree in Computer Science, a related field, or equivalent practical experience. As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work.
$133,000 - $194,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago
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