Let’s innovate together.
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.
Falaah Arif Khan
New York University
AI for Ethics and Fairness
Angie Boggust
Massachusetts Institute of Technology
Human Centered AI
Jie He
University of Edinburgh
Information Retrieval and Knowledge
Juyeon Heo
University of Cambridge
AI for Health and Wellness
Lavender (Yao) Jiang
New York University
AI for Health and Wellness
Bowen Jin
University of Illinois at Urbana Champaign
Information Retrieval and Knowledge
Brihi Joshi
University of Southern California
Speech and Natural Language
Daogao Liu
University of Washington
Privacy Preserving Machine Learning
Aryo Lotfi
EPFL
ML Theory
Yecheng (Jason) Ma
University of Pennsylvania
Embodied ML
Lucas Monteiro Paes
Harvard University
AI for Ethics and Fairness
Nataliya Nechyporenko
University of Colorado Boulder
Embodied ML
Charlotte Peale
Stanford University
ML Theory
Renjie Pi
Hong Kong University of Science and Technology
Data-centric AI
Keitaro Sakamoto
University of Tokyo
ML Algorithms and Architectures
Purva Tendulkar
Columbia University
Computer Vision
Mengzhou Xia
Princeton University
Speech and Natural Language
Yiming Xie
Northeastern University
Computer Vision
Jiayuan Ye
National University of Singapore
Privacy Preserving Machine Learning
Zhuohao (Jerry) Zhang
University of Washington
AI for Accessibility
Jieyu Zhang
University of Washington
Data-centric AI
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.
