Apple Services Engineering (ASE) powers many AI and LLM features across App Store, Music, Video and more. We build deeply personal products with the goal of representing users around the globe authentically. We work continuously to avoid perpetuating stereotypes and systemic biases across our AI tools and models. We are passionate about crafting the future of AI with integrity and driving impactful change.

As Senior Manager of Responsible Development & Safety, you will be driving policies that guide the safe and responsible deployment of Apple Services’ user-facing features. You will drive policy frameworks that help limit harms associated with high-risk user experiences, build guidelines for internal engineering, human evaluation, and safety research teams, identify risks and mitigation strategies for new product features and functions.

The role involves collaborating with engineering, research and product teams to assess and measure the impact of ASE features. Your role involves ensuring safety best practices, reviewing AI model performance, and providing guidance. You’ll use your expertise in technology’s societal implications to contribute to research projects and improve the safety development ecosystem.

RESPONSIBILITIES INCLUDE:
– Drive and support implementation of safety policies defined by AI Safety teams.

– Collaborate with AIML, Product & Design, Privacy, Human-centered AI, policy leads, and business owners to define program requirements, set priorities, and establish scope of AI or ML models.

– Set objectives and key results and the long-term strategy for the Responsible AI policy measurement, including benchmarks and review of safety performance of AI models.

– Lead a small team of managers.

– Develop new programming and generate opportunities for ASE to regularly engage with Policy, Legal, and Privacy teams.

– Design engagement models to solve ethics and safety challenges, e.g. running workshops, engaging with external experts, to help teams consider the direct and indirect implications of their work within ASE.

– Develop and document standard processes through working with machine learning engineers and experts, and where appropriate, external organizations.

Ph.D., J.D. or equivalent experience in Computer Science, Machine Learning, and/or Human-Computer Interaction7+ years proven experience drafting or updating product and / or user policies in multiple regions of the world