Job Information
Apple Engineering Program Manager, Siri and Apple Intelligence Evaluation in Cupertino, California
Role Number: 200649715-0836
Summary
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.
We're looking for a Program Manager with a strong track record of building and leading effective evaluation programs demonstrating success leading via data. As a leader in the AIML Siri and Apple Intelligence evaluation team, you will lead initiatives in evaluation for foundation models and GenAI features powering Siri and Apple Intelligence experiences that are critical to Apple's future.
Description
You will work with top tier data scientists, engineers, research teams, and product teams across Apple to help ensure we deliver high-quality, safe, and beneficial AI-powered experiences that over 1 billion customers expect and love. This role requires technical depth in evaluation methodologies combined with strong program management expertise to drive comprehensive assessment of model capabilities, safety, helpfulness, and user experience quality.
Minimum Qualifications
Bachelor's degree in Statistics, Business Intelligence, Computer Science, other Quantitative Sciences, or related field and equivalent experience
8+ years of experience in driving large scale program building machine learning powered products or analytics to support product development
5+ years of experience managing programs in AI powered product space, preferably experience in evaluation of ML/AI products
Ability to deal with ambiguities, drive disambiguation and clarities around evaluation methodologies, shepherd multiple teams to converge on rigorous measurement frameworks
Experience designing and implementing evaluation systems for machine learning models, particularly large language models or conversational AI systems
Program management skills including program structuring and managing multiple work streams interdependently across research, engineering, and product teams
Problem-solving skills with attention to details in identifying edge cases, failure modes, and capability gaps
Ability to communicate abstract ideas clearly, manage comprehensive yet succinct program status updates to all levels of audience, both verbally and in written forms
Proven adaptability and agility in making adjustments to program strategy and plan with evolving model capabilities and product decisions
Preferred Qualifications
Master's or PhD degree in Statistics, Machine Learning, Computer Science, other Quantitative Sciences, or related field and equivalent experience
Experience with statistical analysis and drawing meaningful conclusions from large-scale evaluation datasets
Deep understanding of LLM capabilities, limitations, and safety considerations
Self-sufficient in analyzing and drawing conclusions about model quality, user experience, and product opportunity from raw and refined evaluation data
Player-coach capable of personally leading large evaluation initiatives while coaching team members along the way and mentoring team members to grow evaluation expertise
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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .