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.
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.
$9000 - $19200 one-time
This internship is unpaid; however CAIS provides the above stipend to assist with academic pursuits and living expenses. The stipend is subject to tax.
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 alignment with the San Francisco Fair Chance Ordinance we will consider qualified applicants with arrest and conviction records for employment.
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We value diversity and encourage individuals from all backgrounds to apply.
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