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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.
Alyssa Amod
University of Cape Town
AI for Health and Wellness
Ruei-Che Chang
University of Michigan
AI for Accessibility
Majid Daliri
New York University
Privacy Preserving Machine Learning
Cathy Mengying Fang
Massachusetts Institute of Technology
AI for Health and Wellness
Yuxian Gu
Tsinghua University
ML Algorithms and Architectures
Tiancheng Hu
University of Cambridge
Human Centered AI
Ziqi Huang
Nanyang Technological University, Singapore
Human-Machine Collaborative Visual Generation and Editing
Vivek Iyer
University of Edinburgh
Speech and Natural Language
Jiaming Ji
Peking University
AI for Ethics and Fairness
Srikar Katta
Duke University
AI for Health and Wellness
Lingdong Kong
National University of Singapore
Computer Vision
Abhishek Panigrahi
Princeton University
ML Algorithms and Architectures
Archiki Prasad
University of North Carolina at Chapel Hill
Speech and Natural Language
Tian (Sunny) Qin
Harvard University
Data-Centric AI
Vinod Raman
University of Michigan
Privacy Preserving Machine Learning
Moritz Reuss
Karlsruhe Institute of Technology
Embodied ML
Konstantinos (Kostas) Stavropoulos
University of Texas, Austin
ML Theory
Guanghui Wang
Georgia Institute of Technology
ML Theory
Jiachen (Tianhao) Wang
Princeton University
Data-Centric AI
Ruoyu (Roy) Xie
Duke University
Information Retrieval, Ranking and Knowledge
Haofei Xu
ETH Zurich
Computer Vision
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.
