AIML Data Scientist, Responsible AI, Product Insights

Help shape the next generation of generative AI at Apple. Were hiring data scientists to work on ambitious projects that will influence the future of Apple our products and the people who use them every this role youll apply product data science to the safety of Apple Intelligence features like Siri Image Playground and Genmoji Writing Tools Photos Clean Up and many more on the way. As part of Apples Responsible AI Team youll support generative AI features from early development through production holding the line on quality safety fairness inclusion and user privacy. Your insights will directly shape how millions of people experience safety in Apple Intelligence.

Apples Responsible AI Team is the steward of product safety for Apple Intelligence. We set safety policy and partner with feature engineering teams to ensure every generative AI experience Apple ships reflects our work spans three pillars: human and automated red teaming; pre-ship safety evaluation and post-ship monitoring; and the design of safety mitigations overrides guardrail models and base model safety alignment. This role brings the data science lens to all three. Youll uncover and characterize safety weaknesses for red teaming ground evaluations in real-world usage signal and measure the in-production performance of the mitigations we is a role for someone who loves the full arc of applied data science: scientific investigation careful interpretation cross-functional collaboration and crisp communication of what the numbers actually mean.

MS or PhD in Computer Science Machine Learning Statistics or a related field; or equivalent foundation in data science analytics and machine learning including statistical analysis A/B testing and the full lifecycle of designing running and interpreting programming skills in Python and at least one data-querying language (SQL Spark or similar). Comfort with AI-assisted development tools such as Claude Code Codex or record of framing research and business questions and answering them with the right statistical tools applied to messy real-world technical communication skills with a proven ability to explain hard ideas (especially causal ones) to audiences ranging from fellow data scientists to engineers to executive to work with highly sensitive material including exposure to offensive and controversial content.

Experience working in the Responsible AI working with usage data from AI-powered products and a current view on how these systems commonly record of scientific research and curiosity about fairness and bias in generative AI and a drive to make the technology more equitable.