Anthropic Fellows Program, AI Safety & Security
Artificial Intelligence, Information Security, Deep Learning and research fellowship at Anthropic
About
Four-month, full-time fellowship for empirical AI safety and security research, with researcher mentorship, a weekly stipend and research support. Workstreams include model interpretability, scalable oversight, adversarial robustness and evaluation of advanced AI systems. Applications for the January cohort are open and reviewed on a rolling basis. Shared workspaces are available in Berkeley and London, with remote participation possible in the United States, United Kingdom or Canada. A subsequent permanent role is not guaranteed.
Topics
- AI safety
- model interpretability
- scalable oversight
- adversarial robustness
- evaluation
- advanced AI systems
- researcher mentorship
- remote participation
Requirements
Fluent Python and full-time availability are required; relevant technical research, ML or security experience is valuable. Participants must be located in and independently authorized to work full-time in the United States, United Kingdom or Canada; no fellowship visa sponsorship is available. Complete the official Constellation application linked from the advert; submitting the Greenhouse form alone is insufficient.
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Source: Anthropic