AIML - Staff ML Engineer, Responsible AI

Role Number: 200646873-3577 Summary Join Us in Shaping the Future of Generative AI at Apple Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Machine Learning Engineer to shape the future of responsible AI for the next generation of generative features. In this role, you will lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements. Your work will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models. As part of Appleu2019s Responsible AI group within the Human-Centered Machine Intelligence (HCMI) organization, youu2019ll collaborate with cross-functional partners to minimize unintended consequences across people, systems, and society while elevating feature capabilities and the overall user experience. Together, weu2019ll anticipate challenges, measure real-world impact, and deliver trusted, highu2011quality AI experiences to users around the globe. Youu2019ll also contribute to forwardu2011looking research in fairness, robustness, uncertainty, and safety u2014 pushing the boundaries of responsible AI at scale. Description Our team leads Responsible AI efforts for a global generative AI product in a highly cross-functional environment. The ideal candidates will define safety policies in collaboration with leadership, design, engineering, legal, and regulatory teams, ensuring alignment with product goals.These individuals will work on architecture mitigation and safety alignment strategies for generative models, drive integration in production. Additionally, they will work on developing models, tools, datasets, and evaluation methods to monitor, diagnose failures, and improve the safety of generative models throughout the deployment lifecycle. We do all these by incorporating human and automated feedback, postu2011launch to continuously improve feature safety and user trust. Minimum Qualifications + 3+ years of proven ability in machine learning, including work with generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision + Proficiency in Python and data science libraries (e.g. Pandas) with strong skills in data analysis, visualization, and applied ML workflows + Excellent interpersonal skills and proven ability to translate sophisticated technical insights for crossu2011functional partners, senior leadership, and executives + Strong analytical and independent problem-solving skills, with ability to navigate ambiguity + Experience designing and supporting human and automated evaluations, particularly with complex, nuanced, or multiu2011labeled data + Handsu2011on experience collecting and analyzing language, vision, or multimodal datasets + Background in failure analysis, quality engineering, or robustness testing for MLu2011driven systems + Must be comfortable working with sensitive or potentially offensive content Preferred Qualifications + BS, MS, or PhD in Computer Science, Machine Learning, or related field, or equivalent experience + Proven success contributing in a highly crossu2011functional environment + Experience shipping complex AI systems at global scale + Background in model explainability, uncertainty estimation, or interpretability + Curiosity and research interest in fairness, bias, and the societal impacts of generative AI + Passion for building innovative, highu2011impact products that draw upon interdisciplinary skills 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: 2026-02-16