Machine Learning Engineer, Foundation Models
Apple is seeking Machine Learning Engineers to develop sophisticated foundation models for intelligent features across its product ecosystem. This role involves transforming cutting-edge AI research into scalable, production-ready solutions, focusing on the full training lifecycle of models optimized for Apple silicon with privacy and efficiency in mind. Responsibilities include designing ML infrastructure, optimizing models, and collaborating to productionize AI algorithms.
Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined. Apple is revolutionizing artificial intelligence by developing sophisticated foundation models that power intelligent features across our product ecosystem. We're seeking skilled Machine Learning Engineers to transform cutting-edge research into scalable, production-ready AI solutions.
We are looking for engineers who are passionate about building systems that push the frontier of deep learning in terms of scaling, efficiency, and flexibility and delight millions of users in Apple products.
We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard problems where the research and the product are inseparable, this is the team.
Posted June 1, 2026