Machine Learning Research Engineer, Generative AI
Apple is seeking a Machine Learning Research Engineer to join the Input Experience group in Cupertino, California. This role involves applying machine learning and generative AI to develop innovative user experiences and intelligent features, participating in the full development cycle from ideation to productization for core technologies like handwriting recognition and document understanding.
Apple is a place where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. This happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. Are you interested in applying machine learning and generative AI technologies to create innovative user experiences? Are you looking to bring your expertise to help build intelligent features that are reaching hundreds of millions of users across Apple platforms? We are an applied machine learning team located in Cupertino, California, part of the Input Experience group that is responsible for building machine learning technologies that enable magical user experiences like Math Notes, Smart Script, and Scribble. We are seeking an outstanding Machine Learning Engineer to help build our next generation of products.
As a member of the team, you will be responsible for bringing innovative ideas and applying modern machine learning methods to solve problems that matter. From ideation to productization, you will participate in the full development cycle of core technologies, including handwriting and text recognition, handwriting synthesis, document understanding, freeform drawing recognition and generation. The ideal candidate should have experience in computer vision, speech recognition, deep learning, and/or other applications of machine learning systems.
Posted May 27, 2026