Control Red Team Research Engineer Research Scientist

You will design and run machine-learning experiments on control measures, develop adversarial attacks, evaluate monitors and sandboxes, conduct security analyses, and report decision-relevant findings. You will also build reusable experimental tooling, pipelines, and infrastructure for training and serving models.

Responsibilities

• Design and run machine-learning experiments on AI control measures
• Build adversarial attacks that generate evidence about monitor efficacy
• Develop arguments and research outputs on safety claims
• Evaluate frontier-lab monitors and report their implications
• Threat model AI attacker behaviour in frontier deployments
• Test monitors, sandboxes, and surrounding infrastructure
• Conduct security analyses
• Build experimental tooling and pipelines
• Build and operate infrastructure for training and serving models

Requirements

• Ability to design, build, and run machine-learning experiments on frontier models
• Ability to work autonomously on complex research projects involving substantial engineering
• Software engineering and machine learning experience writing clean, documented, reusable code
• Experience with LLM fine-tuning, inference frameworks, or Inspect
• Ability to understand and critique how experiments support safety claims
• Understanding of AI safety and control challenges or willingness to learn quickly
• Collaborative and impact-driven approach
• Experience with reinforcement learning, supervised fine-tuning, evolutionary methods, or similar optimisation methods
• Experience in cybersecurity or security analysis
• Proficient use of LLM coding tools and agents

Benefits

• Pre-release access to frontier models and ample compute
• Hybrid working and flexibility for occasional remote work abroad
• Stipend for work-from-home equipment
• At least 25 days of annual leave
• 8 public holidays
• Extra team-wide breaks
• 3 days of volunteering leave
• Paid parental leave
• Employer pension contribution of 28.97% of base salary
• Cycling, donation, retail, and gym discounts and benefits