Data Strategy & Acquisition Lead - AI/ML Systems

Role Number: 200627090-3956 Summary Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each otheru2019s 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. Itu2019s 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. Here, youu2019ll do more than join something u2014 youu2019ll add something. Description Weu2019re building the next generation of AI systems u2014 combining classic computer vision with cutting-edge multimodal LLMs. None of this is possible without the right data. As the Data Strategy & Acquisition Lead, youu2019ll be at the heart of our AI innovation engine. You will work across teams to define, source, and deliver the high-quality, large-scale datasets that power our models. This is not just about collecting data u2014 itu2019s about understanding what data is needed, why itu2019s needed, and how to get it at scale, efficiently and ethically. Youu2019ll shape how our organization understands, prioritizes, and scales data u2014 ensuring that every dataset directly advances model capability and real-world performance. Youu2019ll partner with research scientists, hardware and software teams, operations, simulation experts, and infrastructure engineers to shape our data strategy from concept to execution. Minimum Qualifications + BS and a minimum of 3 years relevant industry experience. + Experience in data strategy, data operations, or technical program management for AI/ML systems, or equivalent practical experience. + Experience managing budgets, vendors, or external data partnerships Preferred Qualifications + Masteru2019s or PhD in a technical field (CS, EE, or related). + Experience building or managing datasets for multimodal LLMs or large-scale computer vision systems. + Familiarity with modern data infrastructure stacks u2014 distributed storage, labeling platforms, and workflow orchestration tools. + Experience with privacy-preserving data techniques, annotation quality frameworks, and dataset bias mitigation. + Knowledge of simulation platforms, synthetic data generation, and photorealistic rendering. + Track record of building or scaling data pipelines supporting research-to-production model development. + Understanding of trends in data scaling laws, foundation models, and self-supervised learning. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (.

Created: 2025-12-05