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.

Yutong Bai

Yutong Bai

Johns Hopkins University
Computer Vision
Jessica Echterhoff

Jessica Echterhoff

University of California, San Diego
Data-Centric AI
Saachi Jain

Saachi Jain

Massachusetts Institute of Technology
AI for Ethics and Fairness
Yifan Jiang

Yifan Jiang

University of Texas, Austin
Computer Vision
Xisen Jin

Xisen Jin

University of Southern California
Speech and Natural Language
Seanie Lee

Seanie Lee

Korean Advanced Institute of Science and Technology
Data-Centric AI
Yong Lin

Yong Lin

Hong Kong University of Science and Technology
ML Algorithms and Architectures
Jessy Lin

Jessy Lin

University of California, Berkeley
Human Centered AI
So Yeon (Tiffany) Min

So Yeon (Tiffany) Min

Carnegie Mellon University
Embodied ML
Jason Mohoney

Jason Mohoney

University of Wisconsin, Madison
Information Retrieval, Ranking and Knowledge
Jingping Nie

Jingping Nie

Columbia University
AI for Health and Wellness
Hadas Orgad

Hadas Orgad

Technion - Israel Institute of Technology
Speech and Natural Language
Yifu Qiu

Yifu Qiu

University of Edinburgh
Information Retrieval, Ranking and Knowledge
Nur Muhammad "Mahi" Shafiullah

Nur Muhammad "Mahi" Shafiullah

New York University
Embodied ML
Abhishek Shetty

Abhishek Shetty

University of California, Berkeley
ML Theory
Satchit Sivakumar

Satchit Sivakumar

Boston University
Privacy Preserving Machine Learning
Joe Stacey

Joe Stacey

Imperial College London
Speech and Natural Language
Mikaela Angelina Uy

Mikaela Angelina Uy

Stanford University
Computer Vision
Zijie Jay Wang

Zijie Jay Wang

Georgia Institute of Technology
Human Centered AI
Yi Wei

Yi Wei

Tsinghua University
Computer Vision
Kaichao You

Kaichao You

Tsinghua University
Data-Centric AI
Jiaqi Zhang

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.

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