Career Opportunities

The Center for AI Safety (CAIS) is seeking a strategic Chief Operating Officer (COO) to partner with the Director, Dan Hendrycks, to establish and drive strategic initiatives that will shape the future of AI safety, ensuring that our research translates into real-world impact and influences global policy on AI. As COO of CAIS, you’ll have a broad scope of responsibility that includes strategic planning through execution and improvement. You and your teams will oversee internal operations, such as finance, compliance and legal as well as external work, such as communications, partnership and fundraising.

The Operations Associate plays a key role in supporting CAIS's organizational efficiency and culture by overseeing office operations, event planning, and executive support. This role requires a proactive and detail-oriented individual who can manage essential tasks across HR, finance, technology, office management, and team culture.

We’re seeking a highly skilled Special Projects Lead who is excited by our mission to develop and promote the field of AI safety. The ideal candidate will have a strong understanding of project management techniques, such as stakeholder management and project planning, and the ability to adapt to a diverse range of projects. In this role, you will have the opportunity to lead important and impactful projects that are critical to the growth and improvement of the AI safety community. We pride ourselves as being interdisciplinary, and we think this is a unique and exciting opportunity to be on the forefront of this quickly evolving technical field, regardless of previous technical training.

As a research engineer here, you will pursue a variety of research projects in fields such as Power Aversion, Trojans, Machine Ethics, and Reward Hacking. You will assist in writing and submitting articles for publication at top conferences. You will collaborate with both internal research staff (e.g., Dan Hendrycks) as well as academics at top universities (including Stanford, UC Berkeley, CMU, or MIT). You will leverage our compute cluster to run experiments at scale on large language models.

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.

We are seeking a dynamic and highly skilled Software Engineer, ideally with a proven track record in startup environments. The successful candidate will take ownership of implementing key technical projects. This role requires someone who thrives in fast-paced settings, can build and adapt quickly, and consistently delivers high-quality, shippable code.