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We are particularly interested in candidates in the areas of Artificial Intelligence (including Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, and Information System Design.
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If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey! Center 1 (19052), United States of America, McLean, VirginiaCurrent PhD - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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Our team develops and maintains recommendation and personalization algorithms for Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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Work may also involve supporting design, use case, and technical specifications for novel artificial intelligence (AI) / machine learning (ML) applications to support new entrants in aviation.
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Knowledge of artificial intelligence and machine learning concepts and how it can be applied to analyzing data or automating manual tasks. Strong knowledge of SQL querying and data analysis techniques.
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The SDS should have expertise and/or experience in implementing deep learning or artificial intelligence (AI) projects in a High-Performance Computing (HPC) environment; and will be experienced in working with federal government categorical data from flat files, data warehouses, and external/academic sources, and should demonstrate experience as a data scientist and/or machine learning engineer.
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Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies. Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms.
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5+ years of experience with artificial intelligence (AI), data science, ML engineering, data research, software engineering, or data analytics. As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets.
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MS/PhD in areas of interest which include Defense (biosecurity, intel, threat assessment), Machine learning and modeling (computational biology, bio- or medically focused AI/ML, digital twins, predictive and multi-scale modeling) and chemistry (medicinal, organic, inorganic.
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At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. The Enterprise Services Business Risk Office provides risk management support to several lines of business including: Tech, Digital, Brand, Enterprise Supplier Management, Capital One Ventures, External Affairs, Capital One Software (COS) and Enterprise ML. We are on the cutting edge of risk management and provide support for new and emerging technologies as well as critical business strategies.
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If so, come join the legal team supporting Microsoft’s Cloud + Artificial Intelligence (C+AI) division in the role of Senior Corporate Counsel, Enterprise Cloud Services Regulatory Oversight. This team counsels its clients across a variety of legal domains and engineering disciplines, including data governance, security, residency, privacy, digital safety, responsible AI, financial services compliance, healthcare, environmental sustainability, and global availability engineering.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more.
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Machine Learning Engineer. Successful candidates will have strong data science, management and analysis skills and experience working with U.S. government agencies, such as the DoD.
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artificial machine jobs Title: data science Company: Capital One in Mclean, VA
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