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You will identify and address an applied machine learning problem in the enterprise co-pilot system, working with ML Engineers across the organization to adopt and productionize LLM usage.
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Qventus is on a mission to take modern technologies and principles that have been proven in other industries — artificial intelligence, machine learning, behavioral science, and data science — and apply them to simplify healthcare operations.
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The Adobe Experience Platform (AEP) Architecture team is looking for a Principal Scientist, Machine Learning to help us both architect and build new intelligent features for our platform.
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7 years of experience with machine learning algorithms (e.g., deep learning, natural language processing) and tools (e.g., TensorFlow). Experience with research communities/efforts, including publishing papers in machine learning and NLP conferences (e.g., ICLR, NeurIPS, ICML, ACL, EMNLP, etc.
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Experience and demonstrated proficiency with machine learning frameworks such as PyTorch, TensorFlow, Keras. You will be part of a cross-disciplinary R&D team working on the emerging boundary of scientific computing and machine learning/AI, with specific emphasis in the analog electronic circuit analysis area.
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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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Requiring a minimum of a Master’s degree +3yrs of experience or a Ph. D.Expertise in statistical analysis, predictive modeling, and machine learning algorithms. The ideal candidate will have a strong background in data analysis, predictive modeling, and machine learning, with a passion for applying these skills to solve complex problems in medical diagnostics.
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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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BS, MS or PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience) - Collaborating with translation, localization quality, project management and engineering teams to develop and implement machine learning solutions- Developing and maintaining features, frameworks and tools to help facilitate the software translation process.
$138,900 - $256,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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These libraries provide accelerated linear algebra functions, such as: matrix products, direct and iterative solvers; and are consumed by industrial and research organizations with applications ranging from gaming and Machine Learning to autonomous driving and chip modeling.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Job title: Machine Learning Engineer. #Machine #Learning #Engineer. I have been working at Nutanix since May 2021, primarily on the machine learning algorithm side but also in areas like MLOPs lifecycle management, data preparation, and deployment.
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Familiarity with Linux programming/Python/ROS/image processing/Machine learning/DSP programming/TI SDK experience. Familiarity with sensor modalities used in robotics and autonomous driving applications (Camera / Vision, RADAR, LIDAR, INS / IMU.
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San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer.
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The team builds and operates systems to centralize all of the data the falcon platform collects, making it easy for internal and external customers to transform and access the data for analytics, machine learning, and threat hunting.
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Experience with both classical and deep learning Machine Learning, or the mathematical fundamentals to enable this. Any experience in control systems, machine learning, algorithm design for HW and user interface design will broaden your role and efficiency.
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machine learning engineer jobs in Cupertino, CA
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