• Research Engineer , Neuromotor Interfaces

    Meta (New York, NY)
    …16. Experience in software engineering in industry 17. Experience bringing machine learning -based products from research to production 18. Research and ... Our research lies at the intersection of computational neuroscience, machine learning , signal processing, statistics, biophysics, motor...software engineer experience demonstrated via an internship,… more
    Meta (09/05/25)
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  • Research Engineer , Language - Wearables…

    Meta (New York, NY)
    …, Language - Wearables Agents AI Responsibilities: 1. Research and develop state-of-the-art machine learning models and novel algorithms tailored to AI assistant ... innovative, production-ready features 4. Monitor, maintain, and iterate on deployed machine learning systems at scale, ensuring reliability, security, and… more
    Meta (09/24/25)
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  • Principal Research Engineer : AEC Geometric…

    Autodesk (New York, NY)
    …Revit, and Construction Cloud-and Forma, our new Industry Cloud. As a Senior Research Engineer , on the AEC Solutions team, you will join a team of technologists to ... data is represented for training + Proficiency in Python and strong software engineering practices + Ability to translate theoretical concepts into practical… more
    Autodesk (09/26/25)
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  • Principal MLOps Engineer

    Acxiom (Albany, NY)
    The Principal MLOps Engineer in the Acxiom Data Science and Machine Learning team will spearhead the development of an MLOps platform to support the ... you will collaborate with the MLOps engineering lead to modernize and operationalize Acxiom's Machine Learning platform and its machine learning more
    Acxiom (07/24/25)
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  • Lead Engineer - Probabilistic Design…

    GE Aerospace (Niskayuna, NY)
    …challenging real-world industry problems in the area of metamodeling/surrogates, machine learning , model calibration and validation, uncertainty quantification, ... this position will participate in developing state-of-the-art probabilistic and machine learning methods and tools to deliver...in structural analysis such as ANSYS or similar FE software + Ability to develop, modify and utilize custom… more
    GE Aerospace (08/07/25)
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  • Sr. Engineer , Measurements

    Corning Incorporated (Corning, NY)
    …that utilize optical metrology, machine vision, motion, controls, and machine learning to support product inspection, quality control, and manufacturing ... Sr. Engineer , Measurements **Date:** Sep 18, 2025 **Location:** Corning,...build, and test measurement systems incorporating optical metrology and machine vision, automation, and machine learning more
    Corning Incorporated (09/18/25)
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  • Product Security Engineer , Intern

    Meta (New York, NY)
    …inherent in building software through an AI-first lens -- leveraging machine learning , automation, and intelligent systems to revolutionize how we approach ... more. 2. AI-Driven Automated Analysis and Secure Frameworks: build tools leveraging machine learning models for security automation (static and dynamic analysis)… more
    Meta (09/17/25)
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  • Lead AI Engineer (FM Hosting, LLM…

    Capital One (New York, NY)
    …for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in ... Lead AI Engineer (FM Hosting, LLM Inference) **Overview** At Capital...world-class talent - along with our deep experience in machine learning - position us to be… more
    Capital One (09/18/25)
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  • Research Engineer , Wearables Multimodal AI

    Meta (New York, NY)
    Engineer , Wearables Multimodal AI Responsibilities: 1. Apply relevant AI and machine learning techniques to build intelligent rich visual systems that ... Deep Learning , Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence **Preferred Qualifications:** Preferred… more
    Meta (08/08/25)
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  • Production Engineer

    Meta (New York, NY)
    …solutions. 7. Build a scalable, efficient, data-driven and reliable platform that empower Machine Learning engineers to own the Machine - Learning ... training lifecycle end-to-end. 8. Reduce the complexity and friction in machine learning models training in production. 9. Create and validate growth of models… more
    Meta (09/26/25)
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