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For model training, model deploying and monitoringThe Global Data Analytics (GDA) Principal Data Scientist is a highly motivated self-starter who is responsible for designing, building, and promoting models and algorithms that power the next generation of machine learning and data science products for the various organizations at Docusign.
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Johnson & Johnson Innovative Medicine is recruiting for a Senior Principal Scientist to help advance Artificial Intelligence/Machine Learning (AI/ML) for Drug Design. Conceive, develop, and implement AI/ML solutions applied to drug design problems, including but not limited to, de novo protein design, molecule structure predictions, molecule property predictions, geometry learning, large models for molecules, and AI-based optimization.
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Theoretical fluency and working proficiency in the application of a broad array of statistical and quantitative methods such as description and inferential statistics, multivariate regression, clustering, neural networks, predictive modeling, forecasting, machine learning, data mining, and optimization algorithms.
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Advanced mathematical skills including statistics, data mining/machine learning, and optimization. Experience and exposure to Deep Learning models, Generative AI and Responsible AI framework would be preferred.
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SciTec is seeking a highly skilled Data Scientist to join our analytics team working on an innovative Machine Learning Operations (MLOps) workload leveraging cutting-edge technologies and supporting a government customer in Huntsville, Alabama.
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Expertise in predictive analytics including regressions and machine learning techniques. Prior experience with production systems running advanced statistical algorithms and machine learning.
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As a Principal Product Manager, Generative AI & Machine Learning, you will lead the development and strategy for New Relic's generative AI & ML platform. As a Principal Product Manager, Generative AI & Machine Learning, you will lead the development and strategy for New Relic's generative AI & ML platform.
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You have:5+ years experience as a outstanding machine learning engineer (or related roles)5+ years shipping machine learning products (leveling to senior software engineer or Principal Software Engineer will be based on experience) Experienced with transformer-based model training, serving and product integrationExperienced at creating and supporting NLP / ML applications at scaleKnowledgeable with LLM training / serving, speech-related models and reinforcement learning.
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And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. The Principal Firmware Engineer will provide technical direction to a team in the design of new firmware architectures, applications, and libraries to ensure on-time delivery and requirements are met.
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Experience with data modeling, machine learning algorithms, optimization, and data science techniques e.g. decision trees, SVM, neural networks, time series, forecasting, classification, regression, clustering, cross-validation, and model evaluation.
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We are open to hiring candidates to work out of one of the following locations:Bellevue, WA, USABASIC QUALIFICATIONSPhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science 10+ years of combined academic and research experience.
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Partner with product managers and engineers to prototype cutting-edge technologies such as machine learning and test them with production data. This Principal Engineer will need to have strong Java, Python, Data Structures and algorithms experience and be hands-on, as well as have some packaged software design and implementation experience.
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Experience or knowledge in machine learning and deep learning algorithms, parallel programming and design. Understanding the current and new emerging opportunities for GPU such as Deep Learning and High-Performance Computing.
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Reporting to the Senior Manager of Applied Machine Learning, the Principal Applied Machine Learning Scientist will build scalable machine learning applications by developing and deploying machine learning and deep learning models that improve the effectiveness of our business operations, designing machine learning processes against requirements and automating work across the organization to improve our speed and efficiency.
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JOB DESCRIPTION We are seeking an experienced, creative, and collaborative scientist with expertise in machine-learning based protein design. Scientific curiosity with an ability to identify questions machine learning approaches can address, and the skills to develop solutions both independently and collaboratively.
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machine learning jobs Title: principal
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