As a research engineer intern here, you will work very closely with our researchers on projects in areas such as AI security, machine ethics, AI alignment, and benchmarking AI risks.
We will assign you a dedicated mentor throughout your internship, but we will ultimately be treating you as a colleague.
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.

Requirements

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.

Benefits

This internship is unpaid; however, CAIS provides the above stipend to assist with academic pursuits and living expenses. The stipend is subject to tax.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningAI securitymachine ethicsAI alignmentbenchmarkingexperiment planningcode reviewslarge language modelspytorchdebugging

Soft Skills

communicationownershipteam collaborationdebatingdefending impact