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Research Scientist focused on AI safety, conducting experiments to study and steer transformer-based LLMs using white-box/black-box techniques, developing research tooling in Python/PyTorch, and translating findings for external partners and safety institutes.
Leads research and development of AI safety evaluations to quantify risks in critical domains like CBRN and cybersecurity, using advanced methods in generative AI and adversarial testing.
Leads cutting-edge AI safety research, publishing findings and tools that shape safe AI deployment for governments and frontier labs, using deep learning frameworks like PyTorch.
Principal Designer at Faculty AI leads design strategy for AI-powered products, shaping capabilities and delivering high-impact client engagements while building a design function from the ground up.
Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through…
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