Apple is looking for an expert Machine Learning Engineer to lead the responsible AI lifecycle for generative features. This role involves assessing risks, defining policies, and developing strategies to ensure the safety of large language and multimodal models. You will work within Apple's Responsible AI group, collaborating with various stakeholders to minimize unintended consequences while enhancing user experience. The position also includes contributing to research in fairness, robustness, and safety in AI.

• 3+ years of proven ability in machine learning, including work with generative models, NLP, or Computer Vision.
• Proficiency in Python and data science libraries with strong skills in data analysis and visualization.
• Excellent interpersonal skills and ability to translate technical insights for cross-functional partners.
• Strong analytical and independent problem-solving skills.
• Experience designing and supporting human and automated evaluations with complex data.
• Hands-on experience collecting and analyzing language, vision, or multimodal datasets.
• Background in failure analysis, quality engineering, or robustness testing for ML-driven systems.
• Must be comfortable working with sensitive or potentially offensive content.
• BS, MS, or PhD in Computer Science, Machine Learning, or related field, or equivalent experience.
• Experience shipping complex AI systems at global scale.
• Background in model explainability, uncertainty estimation, or interpretability.
• Curiosity and research interest in fairness, bias, and societal impacts of generative AI.

• Lead the responsible AI lifecycle end-to-end, assessing risks and defining policies.
• Develop mitigation strategies and drive continuous improvements in AI safety.
• Collaborate with cross-functional partners to minimize unintended consequences.
• Contribute to forward-looking research in fairness, robustness, and safety.
• Work on architecture mitigation and safety alignment strategies for generative models.
• Drive integration of safety measures in production environments.
• Develop models, tools, datasets, and evaluation methods to monitor and improve generative models.
• Incorporate human and automated feedback to continuously improve feature safety.

• 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.