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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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Provide technical excellence to apply state-of-the-art machine learning / artificial intelligence utilizing technologies such as Spark, R, Hadoop, Scala, SQL to real world infrastructure business problems.
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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.
$248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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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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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
$201,400 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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BlackBerry Spark uses artificial intelligence (AI), machine learning and automation to provide improved cyber threat prevention and remediation, while offering transparency across all endpoints for better management and control.
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Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning) The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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Solutions Architecture certification, such as AWS CSA or Azure Solutions Architect), Cloud Machine Learning certification, such as AWS Machine Learning, Azure Data Scientist Associate, or Databricks Certified Machine Learning Professional.
$285,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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F1-OPT Junior Machine Learning Engineer (1-year experience, remote – US/Canada Only) As a Junior Machine Learning Engineer, you will have the opportunity to work on exciting projects, develop your skills, and contribute to the development and implementation of machine learning solutions.
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Creating the gold standard for unified endpoint security (UES) and unified endpoint management (UEM), BlackBerry Spark offers the broadest set of security capabilities, management tools and visibility covering people, devices, networks, apps, and automation.
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Model knowledge of Machine Learning techniques and develop solutions in Python, SQL, and/or R. Master’s degree or PhD in machine learning, statistics, computer science, data mining, math, or any quantitative discipline.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
$150,400Full-timeExpandApply NowActive JobUpdated Today
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