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AI/ML Software Engineer

Apple Inc

  • Sunnyvale, CA
  • 30 days ago

    Highlights

    Design and drive software architecture for both production systems and internal tools Implement and optimize performance-critical algorithms for mobile and embedded platforms Developing and integrating agentic workflow frameworks with tool calling components Integrate multimodal models with audio, image and video modalities for efficient on-device inference Build tooling for visualization, logging, debugging and evaluation Integrate real-time perception, 3D representation and animation systems into a broader end-to-end software stackBachelor's degree in Computer Vision, Computer Graphics, Machine Learning, Computer Science, Computer Engineering or related fields. In this role, you will work closely with our team of experts in computer graphics, computer vision and machine learning to design and build solutions to previously unsolved challenges for Apple products and bring high impact to millions of users.

    Numbers & Facts

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

    Description

    The Video Computer Vision organization is working on exciting technologies for future Apple products. Our team delivers computer vision and machine learning algorithms that power many Apple technologies like human understanding and human intelligence algorithms with applications for digital humans, health and AI. In this role, you will work closely with our team of experts in computer graphics, computer vision and machine learning to design and build solutions to previously unsolved challenges for Apple products and bring high impact to millions of users. You will work closely with Multimodal GenAI researchers and engineers to develop world-class audio-video perception and representation algorithms. The role focuses on building, integrating and maintaining complex real-time systems within a large production software stack. Deep understanding of machine learning inference and performance oriented development is highly desirable. As a member of a fast-paced team, you have the unique and rewarding opportunity to shape upcoming products that will delight and inspire millions of people every day.

    The ideal candidate should possess these qualities:

    • Be highly-motivated and take initiative to achieve goals, while delivering on schedule.
    • Has a sense of curiosity and willingness to learn new things in order to improve the quality of their solutions.
    • Works well in a collaborative setting.Design and drive software architecture for both production systems and internal tools Implement and optimize performance-critical algorithms for mobile and embedded platforms Developing and integrating agentic workflow frameworks with tool calling components Integrate multimodal models with audio, image and video modalities for efficient on-device inference Build tooling for visualization, logging, debugging and evaluation Integrate real-time perception, 3D representation and animation systems into a broader end-to-end software stackBachelor's degree in Computer Vision, Computer Graphics, Machine Learning, Computer Science, Computer Engineering or related fields. 5+ years of relevant industry experience. Strong proficiency in C/C++ or Swift, writing clean and well-structured code. Solid mathematical foundation in linear algebra and numerical analysis. Experience breaking down large problems and delivering robust solutions. Experience developing user-facing APIs for complex systems. Curiosity about new technologies and flexibility to work across different layers of the software stack.MS/PhD with relevant industry experience. Experience with audio, computer vision, 3D graphics and animation algorithms. Experience deploying algorithms to GPUs or other hardware accelerators. Understanding of SW/HW parallelism, threads, processes and asynchronous processing. iOS or macOS development experience using frameworks like Foundation Models, MLX, ARKit, REKit. Knowledge of diffusion transformer models especially in context of on-device inference.

    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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