Hybrid Research Engineer Intern, Fall 2026

at Center for AI Safety

• Job title: Research Engineer Intern, Fall 2026
• Job type: Internship
• Experience level: Entry level
• Salary: $9,700 - $19,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: PyTorch
• Location requirements: Hybrid, San Francisco, United States

About the role

• Research Engineer Intern at the Center for AI Safety working closely with researchers on AI security and ethical issues. Involved in planning experiments and contributing to impactful publications.

Responsibilities

• As a research engineer intern here, you will work very closely with our researchers on projects in areas such as AI security, machine ethics, AI alignment, and benchmarking AI risks.
• We will assign you a dedicated mentor throughout your internship, but we will ultimately be treating you as a colleague.
• You will have the opportunity to debate for your own experiments or projects, and defend their impact.
• You will plan and run experiments, conduct code reviews, and work in a small team to create a publication with outsized impact.
• You will leverage our internal compute cluster to run experiments at scale on large language models.

Requirements

• Are able to read an ML paper, understand the key result, and understand how it fits into the broader literature.
• Are comfortable setting up, launching, and debugging ML experiments.
• Are familiar with relevant frameworks and libraries (e.g., pytorch).
• Communicate clearly and promptly with teammates.
• Take ownership of your individual part in a project.
• Have co-authored a ML paper in a top conference.

Benefits

• This internship is unpaid; however, CAIS provides the above stipend to assist with academic pursuits and living expenses. The stipend is subject to tax.