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As a machine learning serving engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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Experience with Big data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB). Experience building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks.
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Minimum Experience Required: Five (5) years of experience as an Engineer II, Machine Learning or related occupation in machine learning algorithm engineering, user behavior modeling, and data analysis.
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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets.
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Solid theoretical background in data analytics, data mining, machine learning, and statistics. Apply hands-on data science techniques, including advanced analytics, machine learning, statistics, etc.
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As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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Ford's GDI&A department is on the hunt for talented individuals skilled in Machine Learning, Big Data, Statistics, Econometrics, and Optimization. We're looking for exceptional Machine Learning and AI scientists who are eager to engage in all project stages, from problem identification to model deployment.
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Machine Learning & Natural Language Processing (Data Science) Engineer Intern. Knowledge in machine learningand natural language processing, as well as computer science fundamentals(data structures, algorithms, big-O notation, concurrency, etc.
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It will offer the autonomy to explore various areas and discover the next big innovation that infuses machine learning and deep learning into the search stack. We are seeking an experienced and passionate engineer leader who can drive this effort across the stack, including serving, pipelines, and machine learning.
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PubMatic is seeking a Sr. Machine Learning Engineer with big data experience who can work on building the next generation ML platform. Work collaboratively with Machine Learning and monetization team to make democratize data for analysis and impact.
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Machine Learning Model Engineer – Samsung Ads. Machine Learning Model Engineer - VD. A tech lead role with responsibilities ranging from designing, developing and deploying scalable machine learning models to delivering production-grade products from end to end.
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Experience in Machine Learning, Big Data and Deep Learning. As a Staff Engineer at LinkedIn, you will be responsible for the development and training of cutting-edge machine learning models and algorithms that can effectively leverage our members’ platform activities and industry trends to create personalized recommendations that are delivered to our members at the optimal moment.
$156,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Experience in Machine Learning engineer or Infrastructure roles, with a focus on Machine Learning infrastructure. Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn.
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We are looking for a Sr. Staff Machine Learning Engineer to be the Technical Lead for the Content Quality organization for Trust Engineering who will build the overall technical strategy, unified technical architecture and define a roadmap for industry leading methodology.
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big machine learning jobs Title: machine learning engineer in Palo Alto, CA
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