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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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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark.
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Req Demonstrated expertise in applying advanced statistical and machine learning techniques to real-world problems, such as predictive modeling, natural language processing, computer vision, or recommender systems at scale.
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The Research Data Scientist participates in biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis.
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Travel Requirements Local Daily Travel Requirements: 50-75% Knowledge, Skills, and Abilities Fluent in American Sign Language (ASL) Extensive experience in installing Sorenson VRS equipment, providing customer service and be expert in all types of videophone and network installations including T1, DSL and High-Speed Cable Internet.
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You have a background in machine learning and recommendation system algorithms Proficiency in Python You have experience with frameworks like TensorFlow, PyTorch, or similar. About the roleIn the role of Senior Research Developer, (internally titles: Machine Learning Engineer), you will report to the director of data science and machine learning in the Center for Data and Insights.
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Qualifications Minimum Qualifications On going MS or Ph. D student in Visual Computing, Computer Vision, Computer Graphics, 3D Vision, or related field industry or research experience with deep learning and computer vision Experience with Python Familiar with linear algebra, and numerical optimization Experience with cloud platforms such as GCP, Azure, or AWS Experience with machine learning and deep learning and modern 2D and 3D Vision.
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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The Upstream segment includes crude oil, natural gas and natural gas liquids exploration, field development, and production. This company engages in the exploration, production, transportation, and sale of crude oil and natural gas.
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Technical knowledge of neuroimaging and brain anatomy, experience with organizing, maintaining, and analyzing large brain imaging datasets, programming expertise with python, Bash and parallel computing, experience with Brain Imaging Data Standards (BIDS) and MRI—based neuroimaging software programs (e.g., FreeSurfer, ITKSna) and statistics/machine learning strongly preferred.
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We are looking to add an experienced Machine Learning Engineer to our esteemed team who can develop cutting edge Deep Learning technologies in the domains of Computer Vision, Synthetic Aperture Radar (SAR), and Geospatial Exploitation.
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We are in search of a driven and experienced individual to join our dynamic and thriving team. GPAC (Growing People and Companies) is an award-winning search firm specializing in placing quality professionals within multiple industries across the United States since 1990.
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Voting rights on organizational decisions *Annual Salary will be based on longevity with the Group and FTE work schedule/effort About the areaCovering the East San Fernando and Santa Clarita valleys, the Panorama City service area is a natural gateway for both outdoor adventure and urban experiences.
$470,799Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Essential Functions: Instructor to EOP's Summer/Transfer Bridge, Summer Workshop and Community Learning students may include teaching the following courses: Reading, Summer Bridge (SB) Seminar, Math, Kinesiology, Library Science, Communication Studies, History, Pan-African Studies (PAS), and/or Chicana(o) and Latina(o) Studies to Bridge students.
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Manage services from Public Cloud Hyperscalers like Microsoft Azure, Amazon AWS, Oracle OCI, Google GCP, and Alibaba Cloud on services like Cloud Compute, Storage Services, Data Services, DevOps, CI/CD, MicroServices, Service Mesh, Containerization, Artificial Intelligence, Machine Learning platforms and End-to-End Observability.
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