Center for AI Safety→
Research Engineer Intern (Fall 2026) at Center for AI… · San…
InternshipOn-siteFull-timeSan Francisco, CA
Skills
machine learningpytorchml paper co-authorshipexperiment debugging
Job Description
Summary: The Center for AI Safety (CAIS) is a leading research and field-building organization on a mission to reduce societal-scale risks from AI. As a research engineer intern, you will work closely with researchers on projects related to AI security, machine ethics, and AI alignment, while having the opportunity to plan and run experiments and contribute to impactful publications.
Responsibilities:
- Read an ML paper, understand the key result, and understand how it fits into the broader literature
- Set up, launch, and debug ML experiments
- Communicate clearly and promptly with teammates
- Take ownership of your individual part in a project
- Co-author a ML paper in a top conference
Required Qualifications:
- 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
Preferred Qualifications:
- Have co-authored a ML paper in a top conference
Required Skills: Machine Learning, PyTorch
Important Skills: ML Paper Co-authorship, Experiment Debugging
Internship Start Date: Start in 2026 Fall
Benefits: Stipend to assist with academic pursuits and living expenses
Benefits
Stipend to assist with academic pursuits and living expenses