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Control Red Team - Research Engineer/Research Scientist

Aisi · Londonsenior

In short

  • ▸Investigar vulnerabilidades en sistemas de control de IA avanzada para prevenir comportamientos maliciosos.
  • ▸Probar y romper sistemas de seguridad como monitores y sandboxes con modelos de vanguardia.
  • ▸Trabajo directo con desarrolladores de IA de punta y acceso a recursos únicos en el Reino Unido.

Proficiency in English is required for all communication and documentation.

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What they ask for

  • ✓Experiencia en pruebas de penetración o red teaming en sistemas de IA.
  • ✓Conocimiento avanzado en alineación de IA y sistemas de control.
  • ✓Capacidad para diseñar experimentos para evaluar riesgos reales de IA.
  • ✓Experiencia con modelos de lenguaje grandes y capaces.
  • ✓Habilidades en programación y análisis de código.
  • ✓Inglés avanzado para comunicación técnica y colaboración internacional.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Red TeamingControl MonitorsPermission SystemsSandboxingResamplingEscalation ProtocolsFrontier ModelsGDMAnthropicSafety Cases

Who should you write to at Aisi?

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About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We’re here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. The deadline for applying to this role is 30 th September 2026 , end of day, anywhere on Earth. Team Description Control measures — monitors, permission systems, sandboxing, resampling, escalation protocols — are designed to detect and prevent misaligned behaviour from advanced AI systems. Though the measures are already critical to safety, whether they would in fact catch a capable model attempting to cause harm is an empirical question that remains largely untested. The Control Red Team at AISI is stress-testing control monitors ( including from GDM and Anthropic ) – finding attacks that beat monitors and attempting to design experiments to measure real-world risk. We’re based within the Red Team, about a dozen people who have spent the last two years breaking developer’s alignment and misuse safeguards, and grew out of AISI’s previ o us research in to contro l evaluations and safety cases. We're opening roles on the Control Red Team, and we think it's an unusually good place to do this work. You'd join early, with real ownership over the team's direction; you'd have frontier model access, serious compute and strong infrastructure support from across AISI; and you'd get privileged insight into control measures across several frontier developers, working alongside some of the most experienced red teamers in the field. Our current bet is to focus our eff

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