Senior Research Scientist – AI Safety

Overview

In this Senior Research Scientist role, you lead high-impact AI safety research within Faculty’s R&D program. You will shape and advance the safety research agenda, collaborate with cross-disciplinary teams, and publish findings that guide safe deployment of frontier AI. You’ll manage red-teaming and evaluations for high-risk domains, partnering with government and industry to influence real-world safety practices. This is an opportunity to drive meaningful scientific and practical outcomes in a leading safety-focused group.

Responsibilities

• Own and drive high-impact AI safety research themes
• Contribute to Faculty’s AI safety research agenda and thought leadership
• Shape research priorities balancing scientific and practical needs
• Lead technical research from concept to publication
• Support delivery of red-teaming evaluations in high-risk domains (CBRN, cybersecurity) with government and commercial partners

Key requirements

• Track record of high-impact AI research with top-tier publications or equivalent experience
• Applied AI safety experience from labs, academia, or evaluation/red-teaming roles
• Deep domain knowledge in language models and generative AI architectures, incl. fine-tuning beyond API
• Practical ML experience focusing on robustness, explainability, or uncertainty estimation
• Proficiency with PyTorch, TensorFlow, or similar; familiarity with HuggingFace ecosystem
• Demonstrable Python engineering experience for robust research projects
• Ability to conduct and oversee complex technical research projects; strong verbal and written communication skills

• Excellent verbal and written communication
• Stakeholder engagement and collaboration
• Strategic thinking and initiative
• PyTorch
• TensorFlow
• HuggingFace ecosystem

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