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Our team develops, implements, 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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The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart.
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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. 8+ years of quantitative experience in model development or independent validation of Compliance systems , transaction monitoring and Sanction screening models.
$225,000 - $330,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer.
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Gen II Fund Services, LLC is one of the largest global independent private equity fund administrators, administering over $1 trillion of private capital on behalf of its clients with offices in New York, San Francisco, Boston, Stamford, Dallas, Denver, Vancouver, London, Southampton, Dublin, Jersey, and Luxembourg.
$90,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Technical analysis and software development Design and implement business solution in agile squads Engage in Machine Learning project, which includes problem definition, Data Engineering, Machine Learning design and documentation for the model risk management and running all the needed ML tests to ensure reliability.
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Backgrounds in advanced/applied mathematics, biostatistics, information theory and machine learning. Design, build, test and refine multiple large biomarker databases in collaboration with multiple ICR teams, particularly multi-omics datasets.
$155,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital. Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row.
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They are responsible for content instruction in mathematics, English Language Arts, and social studies, and social-emotional learning. In addition to rigorous, joyful and engaging academics, Public Prep emphasizes social-emotional learning as critical to supporting the whole child.
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Associates work on assignments ranging from origination to execution with various industry and product teams at the firm including: Power, Energy, Real Estate, Telecom, Technology, Debt Capital Markets, Global Loan Syndications, Derivative Products Group, Global Risk Management, and Sustainability Finance.
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Silver HCM Excellence Award for Learning & Development” – Brandon Hall Group. X-Ray Technologist - Per Diem- Morgan Stanley Children's Hospital. We are seeking a highly skilled X-Ray Technologist to join our team.
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Within AWS, we’re focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Bedrock, Amazon Lex, Amazon Kendra, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with simple API calls.
$105,100 - $204,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We prepare students for in-demand jobs in fields including real estate, hospitality and tourism; global affairs; global sports management; publishing; marketing and public relations; project management; executive coaching and organizational consulting, human capital management; information technology, management and systems; translation; publishing and professional writing.
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Focused on building the next generation of global financial data systems to support our client’s front office, middle office processes and back-office risk, finance, compliance reporting, regulatory reporting, and capital markets and banking needs.
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machine learning capital one jobs Title: quantitative analyst in New York, Columbia, Missouri
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