The Center for Human-Compatible Artificial Intelligence is hiring! Our 2026 internship applications are now open. CHAI is a research center at UC Berkeley that explores the foundations of safe and beneficial AI.
This internship is designed for individuals who are interested in research in human-compatible AI. Our internships require a background in machine learning, computer science, mathematics, or related fields. Existing research experience in machine learning is strongly advantageous but not required. We are interested in people who can demonstrate technical excellence and wish to transition to research in human-compatible AI. Examples include undergraduate or Master's students in computer science or adjacent fields, PhD students/researchers, professional software or ML engineers, etc.
Feel free to forward this email to qualified candidates in your network.
We deeply value diversity of thought and encourage folks of all backgrounds to apply.
For any questions regarding the internship, please contact chai-internship@berkeley.edu. Thank you.
You can learn more about the internship and view our application here: https://humancompatible.ai/jobs#chai-internship
Deadline: October 5th, 2025 at 11:59 p.m. PST
This internship is designed for individuals who are interested in research in human-compatible AI. Our internships require a background in machine learning, computer science, mathematics, or related fields. Existing research experience in machine learning is strongly advantageous but not required. We are interested in people who can demonstrate technical excellence and wish to transition to research in human-compatible AI. Examples include undergraduate or Master's students in computer science or adjacent fields, PhD students/researchers, professional software or ML engineers, etc.
Feel free to forward this email to qualified candidates in your network.
We deeply value diversity of thought and encourage folks of all backgrounds to apply.
For any questions regarding the internship, please contact chai-internship@berkeley.edu. Thank you.