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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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3+ years experience as a Machine Learning Engineer, Data Scientist, and experience in causal machine learning is preferred. We are seeking a talented and motivated Machine Learning Engineer with expertise in marketplace growth to join our dynamic and fast-paced team.
$145,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We're looking a Sr. Machine Learning (Software) Engineer who bring expertise across the AI space, including ML platform design, cloud hosted AI services, foundational AI models, LLMs, Open AI, and cutting-edge AI research; our list of breakthrough products and technologies is growing at a rapid pace.
$165,000 - $188,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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.
$230,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Job Description:Sr. Software Engineer- Machine LearningSunnyvale, CA, USDescriptionThe predictive marketing cloud, helps marketers understand and engage their customers in a personalized and omni-channel fashion, aided by predictive analytics on big data.
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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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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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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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4+ years of machine learning-related experience, preferably in trust&safety/risk management. The Data Intelligence risk control team in global payment team is responsible to optimize payment services in a data-driven approach with Data Engineering, Data Science, and Machine Learning efforts.
$187,040 - $280,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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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
big machine learning jobs Title: machine learning engineer in Cupertino, CA
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