AIML Senior ML Engineer, Responsible AI and Safety

Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer more inclusive and globally representative nnApple is seeking an expert Machine Learning Engineer to shape the future of responsible AI for the next generation of generative 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. nnAs part of Apples Responsible AI group within the Human-Centered Machine Intelligence (HCMI) organization youll collaborate with cross-functional partners to minimize unintended consequences across people systems and society while elevating feature capabilities and the overall user experience. Together well anticipate challenges measure real-world impact and deliver trusted highquality AI experiences to users around the globe. Youll also contribute to forwardlooking research in fairness robustness uncertainty and safety pushing the boundaries of responsible AI at scale.

Our team leads Responsible AI initiatives for global generative AI products operating at the intersection of policy product and GenAI. Were seeking candidates who will shape safety policies in partnership with leadership design engineering legal and regulatory stakeholdersensuring our safeguards advance both user protection and product 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 postlaunch to continuously improve feature safety and user trust.

3 years of proven ability in machine learning including work with generative models (Transformers LLMs VLMs) NLP or Computer VisionnProficiency in Python and data science libraries (e.g. Pandas) with strong skills in data analysis visualization and applied ML workflowsnExcellent interpersonal skills and proven ability to translate sophisticated technical insights for crossfunctional partners senior leadership and executivesnStrong analytical and independent problem-solving skills with ability to navigate ambiguitynExperience designing and supporting human and automated evaluations particularly with complex nuanced or multilabeled datanHandson experience collecting and analyzing language vision or multimodal datasetsnBackground in failure analysis quality engineering or robustness testing for MLdriven systemsnMust be comfortable working with sensitive or potentially offensive content

BS MS or PhD in Computer Science Machine Learning or related field or equivalent experiencenProven success contributing in a highly crossfunctional environmentnExperience shipping complex AI systems at global scalenBackground in model explainability uncertainty estimation or interpretabilitynCuriosity and research interest in fairness bias and the societal impacts of generative AInPassion for building innovative highimpact products that draw upon interdisciplinary skills