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About the Role

The Center for AI Safety (CAIS) is seeking a research engineer intern to collaborate closely with researchers on projects in AI security, machine ethics, AI alignment, and benchmarking AI risks. Interns will be treated as colleagues, with opportunities to propose experiments, defend their impact, plan and run experiments, conduct code reviews, and contribute to publications. The role involves leveraging internal compute clusters for large language model experiments.

Responsibilities

Plan and run experiments
Conduct code reviews
Work in a small team to create a publication
Leverage internal compute cluster to run experiments at scale on large language models

Requirements

Must be enrolled in university
Co-authored at least one paper published at a top ML conference venue
Track record of empirical research in AI or ML, particularly in AI safety-relevant areas
Made meaningful research contributions at a leading AI lab (alternative)
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
Communicate clearly and promptly with teammates
Take ownership of individual project contributions

Skills

AI security
Machine ethics
AI alignment
Benchmarking AI risks
PyTorch

Location

Remote

Work Type

Full-time
Internship

Experience Level

Intern

Education Level

Current student in machine learning or a related field
Exceptional candidates with a strong publication record may be considered regardless of degree level

Salary/Compensations

$9,700 - $19,000 a year (stipend)

Benefits

Dedicated mentor
Stipend to assist with academic pursuits and living expenses

About the Company

The Center for AI Safety (CAIS) is a leading research and field-building organization focused on reducing societal-scale risks from AI.
Tackles tough AI issues with technical, societal, and policy solutions through its sister organization, the CAIS Action Fund.

Equal Opportunity

The Center for AI Safety is an Equal Opportunity Employer.
Considers 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.
Considers qualified applicants with arrest and conviction records for employment in alignment with the San Francisco Fair Chance Ordinance.
Encourages individuals from all backgrounds to apply.