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Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred.
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As a summer intern in our group, you will have project opportunities to partner with laboratory and data scientists in our Research Labs to apply advanced computational methods (such as natural language processing, image analysis, machine learning, and data engineering) across our Company's Discovery and Pre-clinical Development enterprise.
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Research focuses on testing and evaluating emerging quantum hardware, investigations of quantum mechanisms that may be used to provide a quantum advantage, development of new algorithms and software for quantum computing, and application of quantum computing to a range of real-world problems involving planning and scheduling, machine learning, and fault diagnostics.
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As a Machine Learning Engineer on the Banking & SFS team, you will support fellow Data Scientists and Modelers in building and deploying machine learning models that support our banking and lending business.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Topics of specific interest include: (i) decision making under uncertainty / optimal design and control of experiments and physical or biological systems; (ii) uncertainty quantification for physical or biological systems or machine learning; (iii) optimization; (iv) model reduction / digital twins / surrogate modeling or emulation; (v) modeling & simulation; (vi) scientific machine learning; (vii) computational and experimental workflows and pipelines for science and engineering problems.
$70,200 - $116,200 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Machine Learning is an integral part of how we design products, operate, and pursue Cash App's mission to serve the unbanked as well as disrupt traditional financial institutions. 5+ years experience with applied Machine Learning or Deep Learning.
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Experience using quantitative (machine learning and statistics), qualitative (ethnography) Sports, Technology, and Learning Postdoctoral Position. The Technological Innovations for Inclusive Learning and Teaching (tiilt) Lab aims to improve.
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Utilise your deep understanding of computational chemistry to guide the development of machine learning models tailored for applications in drug discovery and materials science. As the Director of Machine Learning, you will play a pivotal role in shaping the strategic direction of their machine learning initiatives, particularly in the domain of computational chemistry.
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The role requires proficiency in patent prosecution, with a preference for expertise in electrical engineering, software-related technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$90,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Preferred expertise includes patent prosecution in electrical engineering or software-related technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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In this role, you will leverage your expertise in Python, Natural Language Processing (NLP) techniques, algorithms and statistics, as well as your familiarity with US Department of Defense mission needs, to deploy, optimize, and evaluate innovative machine learning and algorithmic solutions in client environments.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Two years applied machine learning experience in a professional setting, familiar with at least one mainstream deep learning framework, such as TensorFlow or PyTorch. About this role:The Senior machine Learning Engineer will be working on different aspects of recommendation and user growth new initiatives, and the product will greatly impact Weee.
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Responsibilities:Research, develop and evaluate state-of-the-art machine learning algorithms for the next generation AI/ML based Computer Graphics and Robotics for 3D Animation. This internship is a great opportunity to gain valuable experience in exciting entertainment industry applications as well as cutting-edge research experience in the field of computer graphics, animation, and character control with latest AI & Machine Learning technologies.
$45 an hourFull-timeExpandApply NowActive JobUpdated Today
machine learning jobs Title: intern Company: Autodesk
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