Center for AI Safety
A Research Engineer at the Center for AI Safety works on technical research to reduce catastrophic and existential risks from artificial intelligence, focusing on topics such as Power Aversion, Trojans, Machine Ethics, and Reward Hacking. The role involves collaborating with internal researchers and academics at top universities, contributing to publications, and running experiments at scale on the organization's compute cluster.
Company Size
11-50 employees
The Center for AI Safety (CAIS) is a nonprofit research and field-building organization focused on reducing societal-scale risks from advanced artificial intelligence. CAIS conducts technical AI safety research, builds infrastructure and pathways into the field (including a compute cluster and researcher support), and publishes resources such as blog posts and a newsletter. It also works on advocacy and standards development to align industry, academia, and policymakers around stronger AI safety practices. Researchers, funders, and decision-makers rely on CAIS for pragmatic research, tools, and guidance to mitigate catastrophic AI risks.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Center for AI Safety.
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