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 other’s 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. It’s 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, you’ll do more than join something — you’ll add something. Apple’s 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 SWE. Successful 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.

Description

As the head of Data Science and Insights, you'll 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 Apple's high customer expectations for both quality and privacy.

Minimum Qualifications

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

Preferred Qualifications

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