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About the Role

The AI Security Institute is seeking research scientists and research engineers for its misuse sub-team. This specialized team focuses on red-teaming frontier AI safeguards, researching novel attack vectors, and developing advanced automated attack tooling to understand and mitigate advanced AI risks.

Responsibilities

Lead technical direction, picking questions, designing experiments, and owning conclusions (Research Scientists).
Lead execution, building systems and code for experiments at scale, and owning reliability, speed, and reproducibility (Research Engineers).
Design, build, run, and evaluate methods to automatically attack and evaluate safeguards.
Build a benchmark for asynchronous monitoring for signs of misuse and jailbreak development.
Investigate novel attacks and defences for data poisoning LLMs.
Perform adversarial testing of frontier AI system safeguards and produce impactful reports.
Share findings with frontier AI companies, key UK officials, and other governments.

Requirements

Hands-on research experience with large language models (LLMs), including training, fine-tuning, evaluation, or safety research.
Demonstrated track record of peer-reviewed publications in top-tier ML conferences or journals.
Ability and experience writing clean, documented research code for machine learning experiments.
Experience with ML frameworks like PyTorch or evaluation frameworks like Inspect.
A sense of mission, urgency, and responsibility for success.
Ability to bring own research ideas and work in a self-directed way.
Ability to collaborate effectively and prioritize team efforts.
Experience working on adversarial robustness, other areas of AI security, or red teaming.
Experience working on AI alignment or AI control.
Extensive experience writing production quality code.
Desire to and experience with mentoring and providing feedback.
Experience designing, shipping, and maintaining complex technical products.
Successful candidates must undergo a criminal record check and get BPSS clearance.
Strong preference for eligibility for CTC clearance.

Skills

Large Language Models (LLMs)
Machine Learning
PyTorch
Inspect
Adversarial Robustness
AI Security
Red Teaming
AI Alignment
AI Control
Production Code Development
Mentoring
Technical Product Development

Location

London
Birmingham
Cardiff
Darlington
Edinburgh
Salford
Bristol

Work Type

Hybrid working
Occasional remote work abroad

Experience Level

Junior
Senior
Staff
Principal

Salary/Compensations

Level 3: £65,000–£75,000
Level 4: £85,000–£95,000
Level 5: £105,000–£115,000
Level 6: £125,000–£135,000
Level 7: £145,000

Benefits

Pre-release access to multiple frontier models and ample compute.
Extensive operational support.
Work with experts across national security, policy, AI research and adjacent sciences.
Own important problems early.
5 days off and annual stipends for learning and development.
Funding for conferences and external collaborations.
Freedom to pursue research bets without product pressure.
Opportunities to publish and collaborate externally.
Modern central London office, or option to work in similar government offices.
Flexibility for occasional remote work abroad.
Stipends for work-from-home equipment.
At least 25 days’ annual leave.
8 public holidays.
Extra team-wide breaks.
3 days off for volunteering.
Generous paid parental leave (36 weeks statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time).
28.97% employer pension contribution on base salary.
Discounts and benefits for cycling to work, donations and retail/gyms.

About the Company

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 are in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office).
We work with frontier developers and governments globally.
We are uniquely positioned to mobilise governments for advanced AI.
We have the resources, unique agility, and international influence to shape both AI development and government action.
The Misuse Red Team is a specialized subteam within AISI's wider Red Team.
We have published on topics including novel automated attack algorithms, poisoning attacks, safeguards safety cases, defending finetuning APIs, third-party attacks on agents, agent misuse, and pre-training data filtering.
Example impact cases include advancing the benchmarking of agent misuse, identifying novel vulnerabilities and collaborating with frontier labs to mitigate them, and producing insights into the feasibility and effectiveness of attacks and defences in data poisoning and fine-tuning APIs.

Equal Opportunity

The Civil Service embraces diversity and promotes equal opportunities.
We run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.
The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
The Civil Service is committed to attract, retain and invest in talent wherever it is found.
We encourage applications from any nationality or background.