Jobs

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

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.

Sushmita Bhattacharya

Sushmita Bhattacharya

Harvard University
Fundamentals of Machine Learning
Yichen Jiang

Yichen Jiang

University of North Carolina, Chapel Hill
Speech and Natural Language
Omar Khattab

Omar Khattab

Stanford University
Knowledge Graph Generation and Database Systems
Aviral Kumar

Aviral Kumar

University of California, Berkeley
Fundamentals of Machine Learning
Sida Peng

Sida Peng

Zhejiang University
AI for Industrial Intelligence
Venkatesh Potluri

Venkatesh Potluri

University of Washington
AI for Accessibility
Aahlad Puli

Aahlad Puli

New York University
AI for Health and Wellness
Noam Razin

Noam Razin

Tel Aviv University
Fundamentals of Machine Learning
Elizabeth Salesky

Elizabeth Salesky

Johns Hopkins University
Speech and Natural Language
Ortal Senouf

Ortal Senouf

École Polytechnique Fédérale de Lausanne
AI for Health and Wellness
Moshe Shenfeld

Moshe Shenfeld

The Hebrew University of Jerusalem
Privacy Preserving Machine Learning
Prune Truong

Prune Truong

ETH Zurich
Computer Vision and Augmented Reality
Eric Wallace

Eric Wallace

University of California, Berkeley
Privacy Preserving Machine Learning
Serena Wang

Serena Wang

University of California, Berkeley
AI for Ethics and Fairness
Guodong Zhang

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.

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