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Machine Learning Video Processing Engineer

Apple Inc

  • Cupertino, CA
  • 30+ days ago

    Highlights

    Research and evaluate state-of-the-art learning-based methods for low-level vision tasksBS and a minimum of 3 years relevant industry experience Hands on experience on image/video processing, machine learning and computer vision Programming skills in Python, Java, or C/C++PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields Project experience on low level computer vision algorithms such as spatial/temporal filtering, image enhancement, or video analysis Publication record in top tier conferences (e.g., CVPR, ICCV, ICIP, SIGGRAPH, etc) Excellent written and oral communication skills. In this role, you will collaborate closely with a dynamic team of Apple engineers to design and implement machine learning-based image and video processing technologies that power both current and future Apple products.

    Numbers & Facts

    LocationCupertino, CA
    IndustryComputer/IT Services
    Company Size10,000 employees or more
    Year Founded1976
    Websitehttps://www.apple.com/jobs

    Description

    Imagine the impact of your work - technologies you help create will be experienced by over a billion people every day. At Apple, you'll have the opportunity to contribute to products that consistently set industry standards and, at times, redefine the world. Our team is responsible for developing the core image and video technologies used in nearly all Apple products and services. We are seeking a motivated and adaptable Machine Learning Video Processing Engineer who thrives in technically challenging environments and is eager to push the boundaries of innovation. We are seeking a Machine Learning Engineer to help develop Apple's next-generation video processing algorithms. In this role, you will collaborate closely with a dynamic team of Apple engineers to design and implement machine learning-based image and video processing technologies that power both current and future Apple products.

    Responsibilities include, but not limited to:

    • Develop, implement, and optimize machine learning based video processing algorithms
    • Contribute to data collection, curation, analysis and processing for algorithm training and evaluation
    • Research and evaluate state-of-the-art learning-based methods for low-level vision tasksBS and a minimum of 3 years relevant industry experience Hands on experience on image/video processing, machine learning and computer vision Programming skills in Python, Java, or C/C++PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields Project experience on low level computer vision algorithms such as spatial/temporal filtering, image enhancement, or video analysis Publication record in top tier conferences (e.g., CVPR, ICCV, ICIP, SIGGRAPH, etc) Excellent written and oral communication skills

    About Company

    We bring amazing people together to make amazing things happen.

    We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

    About Apple

    There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

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