AI safety research fellow at Anthropic working on empirical projects and mentorship for a 4-month term. Focused on reducing risks from advanced AI systems with access to funding and resources.
Responsibilities
Participate in AI safety research and foster research talent
Engage in mentorship and project selection process
Work on empirical project aligned with research priorities
Produce public output (e.g. paper submission)
Collaborate with various mentors in AI safety research areas
Requirements
Strong technical background in computer science, mathematics, physics, cybersecurity, or related fields
Fluent in Python programming
Thrive in fast-paced, collaborative environments
Available to work full-time on the Fellows program for 4 months
Motivated by reducing catastrophic risks from advanced AI systems
Excited to transition into full-time empirical AI safety research
Benefits
Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAN
Access to benefits (benefits vary by country)
Funding for compute (~$15k/month) and other research expenses
Direct mentorship from Anthropic researchers
Connection to the broader AI safety research community
Access to a shared workspace (in either Berkeley, California or London, UK)
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