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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.
Yutong Bai
Johns Hopkins University
Computer Vision
Jessica Echterhoff
University of California, San Diego
Data-Centric AI
Saachi Jain
Massachusetts Institute of Technology
AI for Ethics and Fairness
Yifan Jiang
University of Texas, Austin
Computer Vision
Xisen Jin
University of Southern California
Speech and Natural Language
Seanie Lee
Korean Advanced Institute of Science and Technology
Data-Centric AI
Yong Lin
Hong Kong University of Science and Technology
ML Algorithms and Architectures
Jessy Lin
University of California, Berkeley
Human Centered AI
So Yeon (Tiffany) Min
Carnegie Mellon University
Embodied ML
Jason Mohoney
University of Wisconsin, Madison
Information Retrieval, Ranking and Knowledge
Jingping Nie
Columbia University
AI for Health and Wellness
Hadas Orgad
Technion - Israel Institute of Technology
Speech and Natural Language
Yifu Qiu
University of Edinburgh
Information Retrieval, Ranking and Knowledge
Nur Muhammad "Mahi" Shafiullah
New York University
Embodied ML
Abhishek Shetty
University of California, Berkeley
ML Theory
Satchit Sivakumar
Boston University
Privacy Preserving Machine Learning
Joe Stacey
Imperial College London
Speech and Natural Language
Mikaela Angelina Uy
Stanford University
Computer Vision
Zijie Jay Wang
Georgia Institute of Technology
Human Centered AI
Yi Wei
Tsinghua University
Computer Vision
Kaichao You
Tsinghua University
Data-Centric AI
Jiaqi Zhang
Massachusetts Institute of Technology
AI for Health and Wellness
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.
