Research Engineer Intern

Center for Artificial Intelligence Safety Inc • San Francisco, CA

33d • $9,700 - $19,000 • Remote

About The Position

The Center for AI Safety (CAIS) is seeking a Research Engineer Intern to work closely with researchers on projects in areas such as AI security, machine ethics, AI alignment, and benchmarking AI risks. Interns will be treated as colleagues, with opportunities to propose and defend their own experiments or projects. Responsibilities include planning and running experiments, conducting code reviews, and collaborating in small teams to produce impactful publications. Interns will leverage the internal compute cluster for large-scale experiments on large language models.

Requirements

• Current student in machine learning or a related field.
• Co-authored at least one paper published at a top ML conference venue (e.g., NeurIPS, ICML, ICLR, ACL, CVPR).
• Track record of empirical research in AI or ML, particularly in AI safety-relevant areas (e.g. adversarial robustness, calibration, benchmarking).
• Able to read an ML paper, understand the key result, and understand how it fits into the broader literature.
• Comfortable setting up, launching, and debugging ML experiments.
• Familiar with relevant frameworks and libraries (e.g., PyTorch).
• Communicate clearly and promptly with teammates.
• Take ownership of individual part in a project.
• Must be enrolled in university to be considered.

Nice To Haves

• Exceptional candidates with a strong publication record may be considered regardless of degree level.
• Workshop papers are considered, though peer-reviewed conference publications are strongly preferred.
• Publications in journals such as IEEE or Springer Nature are typically given less weight.
• Candidates with primarily theoretical backgrounds are generally not a strong fit.
• Alternatively, have made meaningful research contributions at a leading AI lab.

Responsibilities

• Work closely with researchers on projects in areas such as AI security, machine ethics, AI alignment, and benchmarking AI risks.
• Plan and run experiments.
• Conduct code reviews.
• Work in a small team to create a publication with outsized impact.
• Leverage internal compute cluster to run experiments at scale on large language models.

Benefits

• Dedicated mentor throughout the internship.
• Stipend of $9,700 - $19,000 a year to assist with academic pursuits and living expenses (subject to tax).
• $1,500 referral bonus if a referred candidate is hired and stays for 90 days.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed