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Build amazing machine learning experiences with Apple. Discover opportunities for developers and researchers at Apple.
Jobs in Machine Learning and AI
Our machine learning research teams collaborate to deliver amazing experiences that improve the lives of millions of people every day.
Internships in Machine Learning and AI
Get hands-on machine learning experience with our researchers. Come to Apple as a student, and your team will welcome you as a full contributor.
Apple Scholars in AIML
The PhD fellowships in Machine Learning and AI were created to celebrate the contributions of students pursuing cutting-edge fundamental and applied machine learning research worldwide.
Sushmita Bhattacharya
Harvard University
Fundamentals of Machine Learning
Yichen Jiang
University of North Carolina, Chapel Hill
Speech and Natural Language
Omar Khattab
Stanford University
Knowledge Graph Generation and Database Systems
Aviral Kumar
University of California, Berkeley
Fundamentals of Machine Learning
Sida Peng
Zhejiang University
AI for Industrial Intelligence
Venkatesh Potluri
University of Washington
AI for Accessibility
Aahlad Puli
New York University
AI for Health and Wellness
Noam Razin
Tel Aviv University
Fundamentals of Machine Learning
Elizabeth Salesky
Johns Hopkins University
Speech and Natural Language
Ortal Senouf
École Polytechnique Fédérale de Lausanne
AI for Health and Wellness
Moshe Shenfeld
The Hebrew University of Jerusalem
Privacy Preserving Machine Learning
Prune Truong
ETH Zurich
Computer Vision and Augmented Reality
Eric Wallace
University of California, Berkeley
Privacy Preserving Machine Learning
Serena Wang
University of California, Berkeley
AI for Ethics and Fairness
Guodong Zhang
University of Toronto
On Device Machine Learning
AIML Residency Program
The AIML Residency Program invites experts in various fields to apply their own domain expertise to innovate and build revolutionary machine learning and AI-powered products and experiences. As AI-based solutions spread across disciplines, the need for domain experts to understand machine learning and apply their expertise in ML settings grows. The program aims to invest in the resident’s technical and theoretical machine learning development to help advance their professional careers.
