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Hands-on experience with machine learning-related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store). Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills.
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Design and develop the next-generation machine learning platform to support thousands of model training pipelines concurrently and trillions of daily batch predictions. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies.
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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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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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Artificial Intelligence and Machine Learning (AI-ML) have proven very effective for generating predictions, deriving deep insights, and solving sophisticated business and technology problems across many areas at Visa. In 1993, Visa pioneered the use of tree-based and neural network-based predictive modeling techniques for real-time, risk-based fraud analytics for Advanced Authorization.
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As part of Trust & Safety within the Payments Organization, you will be involved in developing machine learning models that facilitate safe & secure SMB payments by detecting and mitigating Fraud Risk. You will experiment with various relevant Al & ML algorithms and techniques to build best-in-class solutions as part of the organization that oversees several trillion dollars of Wire/ACH transactions and.
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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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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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Introduce and enforce best engineering practices, uphold engineering quality standards, and streamline machine learning development and deployment processes. Establish a clear vision and executable strategies for different machine learning component teams.
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End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest.
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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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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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This team invents and applies machine learning, data mining, and informational retrieval algorithms to understand, identify, and improve web content discovery. RoleWe are looking for a hands on Engineering Leader to spearhead the Data Science and Machine learning charter.
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ResponsibilitiesDesign and develop the next-generation machine learning platform to support thousands of model training pipelines concurrently and trillions of daily batch predictions. 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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Location: Mountain View, CAResponsibilitiesA tech lead role to lead and deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile performance ads market.
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big machine learning jobs Title: machine learning in Palo Alto, CA
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