Introduction

The Center for AI Safety is a research and field-building nonprofit. Our mission is to reduce catastrophic and existential risks from artificial intelligence through field-building and technical research. 

As a research engineer intern here, you will work very closely with our researchers on projects in fields such as Trojans, Adversarial Robustness, Power Aversion, Machine Ethics, and Out-of-Distribution Detection. We will assign you a dedicated mentor throughout your internship, but we will ultimately be treating you as a colleague. By this we mean 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. We hope you will view this opportunity as the start of a long-term collaboration with CAIS.

You might be a good fit if you:

• 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.

About Us

The Center for AI Safety is a non-profit dedicated to ensuring the safety of future artificial intelligence systems. We believe that artificial intelligence will be a powerful technology which will dramatically change society and that AI safety must therefore be pursued proactively. To this end, we conduct research into machine learning safety and facilitate field-building projects which accelerate the growth of the safety community. Join us in steering the future of AI.

If you have any questions about the role, feel free to reach out to hiring@safe.ai.

The Center of AI Safety is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Some studies have found that a higher percentage of women and underrepresented minority candidates won't apply if they don't meet every listed qualification. The Center for AI Safety values candidates of all backgrounds. If you find yourself excited by the position but you don't check every box in the description, we encourage you to apply anyway!