Topic: researcher mentorship

Four-month, full-time research fellowship developing machine-learning infrastructure and reinforcement-learning methods. Projects can address training performance, distributed systems, synthetic-data and environment pipelines, or model generalization. Fellows receive researcher mentorship, a weekly stipend and benefits. Applications are reviewed on a rolling basis for the next cohort, expected in January 2027. San Francisco workspace access and remote participation from the United States, United Kingdom or Canada are available. A subsequent permanent role is not guaranteed.

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.