at Apple
Location
Cupertino, United States of America
Compensation
$305k–$487k USD
Type
full time
Posted
6 days ago
Market range · company + function + seniority
p25 · target · p75 · n=42
Posted $487k · well above market
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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.
Setting the evaluation strategy that determines how Apple measures quality for Apple Intelligence, Siri, and the broader SWE portfolio of billion+ user features.
Leading a large team data scientists and machine learning engineers — recruiting, developing, and retaining strong technical talent across both disciplines.
Driving 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 improvements.
Partnering 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 gains.
Partnering with peer leaders inside AIML Evaluation platforms (AB, Annotation, Synthetic Data), Apple Foundation Models, Machine Translation, etc.
Representing 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 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
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
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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
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