Anthropic AI Security Fellow at Anthropic in San Francisco Bay Area

Summary: Anthropic is a public benefit corporation focused on creating reliable and beneficial AI systems. They are seeking researchers and engineers to join their Fellows Program, aimed at advancing AI security and safety research through mentorship and funding. Responsibilities: - Help accelerate defensive use of AI to secure code and infrastructure - Use external infrastructure to work on an empirical project aligned with research priorities, with the goal of producing a public output - Undergo a project selection & mentor matching process with potential mentors Required Qualifications: - Have a strong technical background in computer science, mathematics, physics, cybersecurity, or related fields - Fluent in Python programming - Available to work full-time on the Fellows program for 4 months - Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience - Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Preferred Qualifications: - Contributed to open-source projects in LLM- or security-adjacent repositories - Demonstrated success in bringing clarity and ownership to ambiguous technical problems - Experience with pentesting, vulnerability research, or other offensive security - A history demonstrating desire to do the 'dirty work' that results in high-quality outputs - Reported CVEs, or been awarded for bug bounty vulnerabilities - Experience with empirical ML research projects - Experience with deep learning frameworks and experiment management Required Skills: Python programming, Empirical AI safety research, Cybersecurity, Pentesting, Vulnerability research, Bug bounty reporting, Machine learning research, Deep learning frameworks, Experiment management, Open-source software contribution Benefits: Access to a shared workspace (in either Berkeley, California or London, UK), Connection to the broader AI safety research community, Funding for compute (~$15k/month) and other research expenses, Competitive compensation and benefits, Optional equity donation matching, Generous vacation and parental leave, Flexible working hours