at Apple
Location
Seattle, United States of America
Compensation
$226k–$382k USD
Type
full time
Posted
3 weeks ago
Market range · company + function + seniority
p25 · target · p75 · n=64
Posted $382k · above the band
Posting health
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As a Senior Manager on the Data Science and Insights team, you'll lead a team of data scientists focused on a core pillar of evaluation, 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.
Owning the evaluation roadmap for your area, translating the org's broader evaluation strategy into concrete methods and deliverables.
Leading a team of data scientists — recruiting, developing, and retaining strong technical talent across both disciplines.
Driving hands-on execution across human evaluation, and LLM-based autograders and rubrics, and ensuring those methods translate into measurable model and agentic feature improvements.
Partnering with Apple Intelligence, Siri AI, and other SWE product and engineering teams to embed evaluation into product development cycles and turn evaluation results into shipped quality gains.Representing your team's work to senior leadership across AIML and SWE.
6+ years of experience in data science and machine learning evaluation, including 3+ years leading technical teams
Advanced degree in a quantitative field such as Statistics, Computer Science, Machine Learning, or similar
Demonstrated track record of running teams of 7+ data scientists and/or machine learning engineers
Strong experience in human evaluation methodology 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
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 individual contributors and leads from within your team and, where needed, recruiting data science and machine learning talent in competitive hiring markets
Familiarity with evaluation frameworks for agentic systems and tool-use
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 a team within our Data Science and Insights organization. The organization leads Evaluation for Apple Intelligence, Siri AI and a large portfolio of other billion+ user facing features in SWE.
Successful candidates will have strong experience in traditional human evaluation methodology, 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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