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Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
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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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We are looking for a Machine Learning Engineer to design, lead and facilitate decisions on our features being built through scientific evaluations which includes defining metrics, hypotheses testing, experimental design, causal inference, A/B tests.
$250,900 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club.
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As a Machine Learning Engineer at ProFound, you will need to understand and implement several machine learning approaches, from logistic regression and tree-based algorithms, causal and graph models, to neural networks.
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The ideal applicant will understand LLM APIs thoroughly and be an expert in Python (3.9 and higher) using Flask, Django, or Fast API. Experience building ML training pipelines and distinctive machine learning models is a major focus for this role, therefore previous experience is a huge plus.
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Familiarity with popular machine learning/deep learning/statistical packages (such as scikit-learn, TensorFlow, PyTorch, etc.) Develop the proprietary trading system, data warehouse, service-based architecture, machine learning platforms, and simulation tooling.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning EngineerRemote (Regardless of Location): $140,000 - $159,800 for Senior Machine Learning Engineer.
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Machine Learning: experience in applying machine learning techniques to radar signal processing tasks. Seeking a hands-on Engineer requiring experience in signal processing and real-time implementation on embedded platforms.
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Geometry (mesh slicing, polygon arithmetic, mesh repair and generation), support structure generation, printer/desktop communication, and dynamic, real-time print failure detection (computer vision, machine learning.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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Knowledge in finance, fintech, data, machine learning, or software engineering. As a Documentation Engineer at Databento, you will: Design, write, and deliver product API documentation and delivery methods.
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The ideal candidate will have a strong background in Software Engineering, and an interest in Computer Vision and/or Machine Learning. New Balance offers a comprehensive traditional benefits package including three options for medical insurance as well as dental, vision, life insurance and 401K. We also proudly offer a slate of more nontraditional perks – opportunities like online learning and development courses, tuition reimbursement, $100 monthly student loan support and various mentorship programs – that encourage our associates to grow personally as they develop professionally.
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Designed and custom-built by Amazonians, our Dash Cart uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Note: This job is located in Hudson, MA AWS Applications and Higher Level Abstractions (Apps) provides horizontal and industry vertical applications for business users with the same on-demand scalability, reliability, pay-as-you-go pricing, and machine learning expertise that drive AWS services.
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Primary Skills: Machine Learning, AWS, MLOps, Tensorflow Contract Type: W2 Duration: 11 Months potential for extension/conversion Location: Arlington,VA, OR Boston, MA (Hybrid) Pay Range: $60.00-$69.00 per hour JOB RESPONSIBILITIES: Development and operationalization of ML solutions in production.
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machine learning jobs Title: engineer in Boston, MA
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