The role involves working within Apple's Responsible AI & Safety team, focusing on shaping safety policies for generative AI products. Candidates will collaborate with machine learning researchers, software engineers, and design teams to enhance user experience while ensuring product innovation. The position emphasizes the importance of responsible AI practices and requires a strong understanding of machine learning principles. The goal is to produce safety evaluations that align with Apple's values and improve technology equity.

• 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 responsible AI, with publications in top ML venues.
• Strong research fundamentals and development methodologies around LLMs, foundation models, and diffusion models.
• Experience working with generative models for evaluation and product development.
• PhD, MS, or BS in Computer Science, Machine Learning, or related fields.

• Collaborate closely with machine learning researchers and engineers to develop innovative solutions.
• Produce safety evaluations that uphold Apple's Responsible AI values.
• Conduct thoughtful data sampling and curation for evaluation datasets.
• Perform high-quality 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.