MacOS Machine Learning Engineer

As a MacOS ML Engineer, you will build the fundamental software, libraries, tools, and test suites to support autonomous security on Apple devices. You will develop the software and integrations to make on device security machine learning successful. As part of this process, you will define the architectures and services of autonomous security on-device, including OS interfaces, sensing capabilities, ML scaffolding, and autonomous security capabilities. You will collaborate with Core OS, security, and services partners across Apple to deliver high reliability, high performance device frameworks and services. You will adapt the intelligence, models, and research developed by the team to run on macOS. Development and deployment of autonomous security on macOS needs to balance privacy, rigor, visibility, performance, and impact. In this role, you need to have skills and knowledge across a blend of macOS development best-practices, systems and software engineering, and embedded systems development. You will design, build, test and monitor the pipelines for the Software Development Life Cycle of autonomous security on Apple devices. Day to day, you will use Apple internal tools and 3p cloud and platforms and local hardware to test and deploy software, frameworks, and ML models to target current macOS and future macOS releases. During early experimentation, deployment, and upscaling, you will also function as a production engineer for deployed components.