Machine Learning Manager, Data for Foundation Models - SIML

We are seeking an experienced Machine Learning Manager to lead a team of ML engineers focused on building new capabilities and delivering step-change quality improvements for our Visual Generation foundation models. The ideal candidate brings a proven blend of strategic thinking and product focus to solving deep technical research problems, specifically around driving data excellence for foundation model training. Typical projects involve leveraging billion-scale datasets, applying machine learning models to enrich data, and executing quality-focused data curation strategies. In this role, you will work closely with cross-functional partners, including ML research, modeling, policy, and responsible AI teams, to maintain the highest standards of execution and safety. You will stay at the forefront of the latest AI research to rapidly apply impactful developments while simultaneously pioneering proprietary, experimental ideas designed specifically for Apple’s unique ecosystem. Minimum Qualifications M.S. or PhD in Computer Science or a related field such as Electrical Engineering, Robotics, Statistics, Applied Mathematics, or equivalent experience 3+ years of experience as an ML Manager, leading teams through modern computer vision and generative AI research Experience managing cross-functional projects, connecting initiatives to engineers' interests, and helping engineers grow through mentorship and empathy 8+ years of experience training state-of-the-art generative or understanding models Proficiency in ML frameworks and distributed data processing pipelines as a hands on technical leader Excellent communication skills and an ability to drive clarity in ambiguous circumstances Preferred Qualifications Prior hands-on research experience working with data and building models Recent projects and experience with modern visual generative AI for images or videos Track record of strong industrial research, including delivery of complex projects or publications in top-tier venues