Machine Learning Engineer
Apple is seeking Machine Learning Engineers to develop and deploy sophisticated foundation models for intelligent features across Apple products. This role involves transforming cutting-edge AI research into scalable, production-ready solutions, optimizing models for performance and efficiency, and working with distributed training and ML infrastructure to power private, personal, and deeply integrated OS experiences.
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.
Our team builds frontier foundation models that power intelligent experiences at Apple. Our work spans 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 May 31, 2026