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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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Solid theoretical background in machine learning or data mining and strong conceptual, problem solving, and analytical skills. 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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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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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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Hands-on experience with machine learning-related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store). ResponsibilitiesDesign and develop the next-generation machine learning platform to support thousands of model training pipelines concurrently and trillions of daily batch predictions.
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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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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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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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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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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. Solid theoretical background in machine learning and/or data mining.
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What we are looking for: Experience leading and working on a large-scale production recommendation, search or ads systems that are based on state-of-the-art machine learning and big data technology.
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big machine learning jobs Title: machine learning in Mountain View, CA
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