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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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Experience in data structures, algorithms, and deep learning libraries, including TensorFlow and Keras; Experience in Python and Java programming languages; Experience with Amazon Web Services; Experience with big data tools, data pipelines, RDBMS, and NoSQL databases; and Experience with real-time bidding (RTB) ecosystem.
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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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Have a strong working knowledge of machine learning algorithms such as XGBoost, CNNs, etc. Experience with deep learning frameworks such as PyTorch and TensorFlow, and experience in CV, NLP, or related areas is a plus.
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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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Act as a resource to the Machine Learning team with regards to Data Lifecycle Management. Work with the Data Scientists to develop and implement key machine learning models.
$192,700 - $337,300 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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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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Experience with deep learning frameworks such as PyTorch and TensorFlow, NLP, Large Language Models, Generative AI, Langchain, Transformer models or related areas is a big plus. You will have the opportunity to build a career solving network security challenges leveraging advanced machine learning techniques on exabytes of data.
$170,000 - $265,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
big learning jobs Title: machine learning engineer in Mountain View, CA
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