AIML Director, Data Science and Insights

Apple is where individual imaginations gather together committing to the values that lead to great work. Every new product we build service we create or Apple Store experience we deliver is the result of us making each others ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world changing lives for the better. Its the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in we can do the best work of our lives. Here youll do more than join something youll add AIML Evaluation team is looking for a seasoned technical leader to lead our Data Science and Insights team. The organization leads Evaluation for Apple Intelligence Siri and a large portfolio of other billion user facing features in candidates will have deep experience in traditional human evaluation methodology logging and A/B testing in addition to hands-on experience building and deploying LLM-based autograders and rubrics and using these tools to proactively drive improvements in models and agentic features.

As the head of Data Science and Insights youll influence the direction of a wide variety of software features models and platforms in close collaboration with teams across the company. Your experience will enable you to thoughtfully balance the various tradeoffs involved in creating successful features that meet Apples high customer expectations for both quality and privacy.

Setting the evaluation strategy that determines how Apple measures quality for Apple Intelligence Siri and the broader SWE portfolio of billion user a large team data scientists and machine learning engineers recruiting developing and retaining strong technical talent across both the methodological agenda across human evaluation logging AB testing and LLM-based autograders and rubrics and ensuring those methods translate into measurable model and agentic feature with Apple Intelligence Siri and other SWE product and engineering teams to embed evaluation into product development cycles and turn evaluation results into shipped quality with peer leaders inside AIML Evaluation platforms (AB Annotation Synthetic Data) Apple Foundation Models Machine Translation the team to executive leadership across AIML and SWE including Senior Vice Presidents.

10 years of experience in data science and machine learning evaluation including 6 years leading large technical teamsnAdvanced degree in a quantitative field such as Statistics Computer Science Machine Learning or similarnDemonstrated track record of running organizations of 50 data scientists and/or machine learning engineersnDeep experience in human evaluation methodology logging and AB testing for consumer-facing products at scalenHands-on experience building and deploying LLM-based autograders and rubrics and using them to drive proactive improvements in models and agentic featuresnStrong written and verbal communication skills able to communicate effectively with engineers and senior leaders including Senior Vice Presidents

Experience evaluating large consumer AI products such as conversational assistants search systems or agentic featuresnExperience with logging infrastructure and instrumentation for AI product quality measurementnTrack record of growing senior leaders from within your organization and where needed recruiting senior data science and machine learning talent in competitive hiring marketsnFamiliarity with evaluation frameworks for agentic systems and tool-usenStrong written and verbal communication skills able to communicate effectively with engineers and senior leaders including Senior Vice Presidents