AIML - Quality Engineering Manager, Responsible AI and Safety

Job description

Apple's Responsible AI and Safety team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and to push the frontier of machine learning. Our team is looking to hire a leader with a strong track record in Applied Research, who is passionate about ML and foundation models with a focus on responsibility, fairness, and safety. In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards. Minimum Qualifications: 5+ years of technical team management or leadership experience Experience with ML evaluation, production ML systems, or test/CI infrastructure at scale Strong engineering skills and experience writing production-quality code (Python or similar) Experience working across multiple platforms or hardware form factors, or a demonstrated ability to ramp quickly across unfamiliar platforms Experience working with human-labeled or crowd-sourced evaluation data, including reasoning about label noise and inter-rater agreement Preferred Qualifications: Experience working on Responsible AI, AI safety, or trust & safety-adjacent engineering Experience with generative model evaluation and common failure modesStrong organizational and operational skills working with large, multi-functional, diverse teams MS or PhD in Computer Science, Machine Learning, Statistics, or related field, or equivalent experience Familiarity with hardware/platform-specific testing considerations (e.g., on-device constraints, new form factors)