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.

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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.

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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

Falaah Arif Khan

New York University
AI for Ethics and Fairness
Angie Boggust

Angie Boggust

Massachusetts Institute of Technology
Human Centered AI
Jie He

Jie He

University of Edinburgh
Information Retrieval and Knowledge
Juyeon Heo

Juyeon Heo

University of Cambridge
AI for Health and Wellness
Lavender (Yao) Jiang

Lavender (Yao) Jiang

New York University
AI for Health and Wellness
Bowen Jin

Bowen Jin

University of Illinois at Urbana Champaign
Information Retrieval and Knowledge
Brihi Joshi

Brihi Joshi

University of Southern California
Speech and Natural Language
Daogao Liu

Daogao Liu

University of Washington
Privacy Preserving Machine Learning
Aryo Lotfi

Aryo Lotfi

EPFL
ML Theory
Yecheng (Jason) Ma

Yecheng (Jason) Ma

University of Pennsylvania
Embodied ML
Lucas Monteiro Paes

Lucas Monteiro Paes

Harvard University
AI for Ethics and Fairness
Nataliya Nechyporenko

Nataliya Nechyporenko

University of Colorado Boulder
Embodied ML
Charlotte Peale

Charlotte Peale

Stanford University
ML Theory
Renjie Pi

Renjie Pi

Hong Kong University of Science and Technology
Data-centric AI
Keitaro Sakamoto

Keitaro Sakamoto

University of Tokyo
ML Algorithms and Architectures
Purva Tendulkar

Purva Tendulkar

Columbia University
Computer Vision
Mengzhou Xia

Mengzhou Xia

Princeton University
Speech and Natural Language
Yiming Xie

Yiming Xie

Northeastern University
Computer Vision
Jiayuan Ye

Jiayuan Ye

National University of Singapore
Privacy Preserving Machine Learning
Zhuohao (Jerry) Zhang

Zhuohao (Jerry) Zhang

University of Washington
AI for Accessibility
Jieyu Zhang

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.

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A manager and a AIML Resident have a discussion while walking