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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.
$185,000 - $283,000 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Working knowledge of machine learning application (eg. Search for ways to automate and scale time series data solutions across the business. Title: Data Scientist. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning.
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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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We'll also promote innovative thinking as well as the opportunity to use cutting-edge machine learning algorithms and NLP techniques to improve our Mobile and Web Search systems! PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative fieldProven record of achieving significant engineering (applied ML) or academic research in Search/RankingExperience with Solr at scale.
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Field experience in data science and building and evaluating large scale machine learning & deep learning models. We are seeking phenomenal Data scientists and Applied Machine Learning engineers to support our Personalization and Item Recommendation development efforts with our eCommerce team.
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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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This role will challenge you to utilize cutting-edge machine learning techniques in the domain of predictive modeling, natural language processing (NLP), deep learning, reinforcement learning, query understanding, vector search (kNN) and image recognition to deliver significant impact for the business.
$136,000 - $222,200 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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We are working on an AI-first initiative to continue to improve the way we do search through the use of large scale next-generation deep learning techniques. PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.
$136,000 - $260,000 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Author research papers to share and generate impact of research results across organization and in the research community. In-office locations: Mountain View, CA, USA; New York, NY, USA; Boulder, CO, USA.
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Author research papers to share and generate impact of research results across function and in the research community. The US base salary range for this full-time position is $161,000-$239,000 + bonus + equity + benefits.
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Develop internal APM product utilizing the latest anomaly detection machine-learning algorithms for predicting machine failures. Support implementations of various Predictive Maintenance solutions at Novelis, scale and replicate these solutions to other plants.
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We are hiring a Machine Learning Engineer/Data Scientist in either Bellevue, WA, Boston, MA or remote. 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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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-timeExpandUpdated 5 months ago - UpvoteDownvoteShare Job
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Author research papers to share and generate impact of research results across the team and in the research community. Note: 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.
$133,000 - $194,000 a yearFull-timeExpandUpdated 2 months ago
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