Applied Machine Learning Engineer Developer Publications

Apple is where individual imaginations gather together committing to the values that lead to great work. Every new product we build is the result of us making each others ideas stronger. That 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. Its 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. nnOur Developer Publications Intelligence team seeks a creative engineer with strong engineering fundamentals and a robust knowledge of Large Language Models (LLMs) agentic workflows and LLM evaluations at scale.

As an Applied Machine Learning Engineer on the Developer Publications Intelligence team you will join a multidisciplinary group of passionate Machine Learning and Software engineers to build and integrate ML models into existing and future tools produced by Apple for third-party developers. We strive for excellence and believe strongly in the quality of our output. You will work alongside domain experts across core subject areas enable cross-functional collaboration with other departments at Apple and contribute to architecture discussions code reviews and proposals.

Building and maintaining LLM evaluation pipelines to assess model quality track regressions and support continuous improvement and implementing agentic workflows and on-device model in code reviews pair programming and architecture discussions with other members of the team.

Strong programming skills in Python with additional experience in Swift C or similar knowledge and hands-on experience with LLM building and maintaining production-grade ML systems at with agentic or multi-step LLM-based systems.

BS MS or PhD in Computer Science Artificial Intelligence or Machine Learning (or equivalent experience).nExperience developing for Apples platforms using Xcode and with on-device LLMs.