The role involves shaping safety policies for global generative AI products at Apple, focusing on responsible AI and safety initiatives. The team operates at the intersection of policy, product, and generative AI, aiming to enhance user experience while ensuring protection. Candidates will collaborate with machine learning researchers, engineers, and design teams to develop innovative solutions. The position emphasizes the importance of thoughtful data evaluation and analysis to uphold Apple's Responsible AI values.

• 3+ years of proven ability in machine learning, including work with generative models, NLP, or Computer Vision.
• 4+ years of research or product deployment record in areas related to responsible AI, with publications in top ML venues.
• Strong research fundamentals and development methodologies around LLMs, foundation models, and diffusion models.
• Experience working in the Responsible AI space.
• PhD, MS, or BS in Computer Science, Machine Learning, or related fields.

• Collaborate closely with machine learning researchers and engineers to develop groundbreaking solutions.
• Produce safety evaluations that uphold Apple's Responsible AI values.
• Conduct thoughtful data sampling, creation, and curation for evaluation datasets.
• Perform high quality, detailed annotations and careful auto-grading to assess feature performance.
• Analyze evaluation results to understand their implications for user experience.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.