The Center for AI Safety (CAIS) is a leading research and field-building organization on a mission to reduce societal-scale risks from AI. Alongside our sister organization, the CAIS Action Fund, we tackle the toughest AI issues with a mix of technical, societal and policy solutions. Our work includes publishing a global statement on AI Risksigned by Geoffrey Hinton, Yoshua Bengio and CEOs from the major AI labs, leading the charge on a major AI safety bill, and running a large compute cluster for global academic researchers working on AI safety 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.
Timing
This application is for the full-time summer internship position. Applications are due by December 5, 2025.
Introduction
The Center for AI Safety (CAIS) is a leading research and field-building organization on a mission to reduce societal-scale risks from AI. Alongside our sister organization, the CAIS Action Fund, we tackle the toughest AI issues with a mix of technical, societal and policy solutions. Our work includes publishing a global statement on AI Risksigned by Geoffrey Hinton, Yoshua Bengio and CEOs from the major AI labs, leading the charge on a major AI safety bill, and running a large compute cluster for global academic researchers working on AI safety 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.
Timing
This application is for the full-time summer internship position. Applications are due by December 5, 2025.
IntroductionThe Center for AI Safety (CAIS) is a leading research and field-building organization on a mission to reduce societal-scale risks from AI. Alongside our sister organization, the CAIS Action Fund, we tackle the toughest AI issues with a mix of technical, societal and policy solutions. Our work includes publishing a global statement on AI Risk signed by Geoffrey Hinton, Yoshua Bengio and CEOs from the major AI labs, leading the charge on a major AI safety bill, and running a large compute cluster for global academic researchers working on AI safety 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. TimingThis application is for the full-time summer internship position. Applications are due by December 5, 2025.
This internship is unpaid; however, CAIS provides the above stipend to assist with academic pursuits and living expenses. The stipend is subject to tax.
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.
The Center for AI Safety is an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, medical condition, marital status, military or veteran status, or any other protected status in accordance with applicable federal, state, and local laws. In alignment with the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
If you require a reasonable accommodation during the application or interview process, please contact [email protected].
We value diversity and encourage individuals from all backgrounds to apply.
Estas cookies son necesarias para que el sitio web funcione y no se pueden desactivar en nuestros sistemas. Puede configurar su navegador para bloquear estas cookies, pero entonces algunas partes del sitio web podrían no funcionar.
Seguridad
Experiencia de usuario
Cookies orientadas al público objetivo
Estas cookies son instaladas a través de nuestro sitio web por nuestros socios publicitarios. Estas empresas pueden utilizarlas para elaborar un perfil de sus intereses y mostrarle publicidad relevante en otros lugares.
Google Analytics
Anuncios Google
Utilizamos cookies
🍪
Nuestro sitio web utiliza cookies y tecnologías similares para personalizar el contenido, optimizar la experiencia del usuario e indvidualizar y evaluar la publicidad. Al hacer clic en Aceptar o activar una opción en la configuración de cookies, usted acepta esto.
Los mejores empleos remotos por correo electrónico
¡Únete a más de 5.000 personas que reciben alertas semanales con empleos remotos!