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About the Role

The Human Influence (HI) team focuses on the ways in which AI can influence human beliefs, decisions, and behaviour. We are looking for a Research Engineer to join the Human Influence team. Successful candidates will be strong researchers and engineers with a track record of carrying out scalable work in LLM post-training and fine-tuning, especially with Reinforcement Learning; or with comparable expertise in engineering and validating large-scale evaluation pipelines.

Responsibilities

Designing and building a Reinforcement Learning environment aimed at mitigating a model’s ability to e.g. deceive a user in a one-to-one conversation or within multi-agent threads.
Leveraging state-of-the-art interpretability methods to identify why models exhibit concerning behaviour, and designing mitigations that can be applied to models irrespective of training regime.
Building the scalable system architecture underpinning the repeatable delivery and analysis of model evaluations and benchmarks.
Delivering ambitious, engineering-heavy research projects on Human Influence topics, for instance by leveraging post-training techniques on a large compute cluster.

Requirements

Proven experience deploying a benchmark, evaluation, or product to users, e.g. an evaluations pipeline in an app, an open-source contribution, or similar large-scale contributions to research.
Clear understanding of the current AI safety literature, and an interest in topics relevant to Human Influence.
Clear and consistent communication.
Clear understanding of fundamental Machine Learning concepts.
Experience fine-tuning or post-training LLMs using standard methods, using common libraries like PyTorch, Keras, JAX, or custom code.
Comfortable working with RL environments and using RL or other reward-based methods to post-train or finetune an ML model, ideally an LLM.
Writing scalable and maintainable production code in (at least) Python.
Comfortable with serving, scaling, and containerising ML code, e.g. using Docker, Kubernetes, Ray, FastAPI, SLURM, especially on large compute clusters.
Good understanding of model internals, e.g. for mechanistic interpretability research, or analysing model activations and weights
Experience shipping an AI safety pipeline to production (e.g. evaluations, monitoring, serving custom models), going beyond research prototypes
Experience using data to answer complex research questions, e.g. by scoping, training, and validating a classifier or finetuned LLM
Experience with frontend and node.js deployments
Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed.
Strong preference for eligibility for counter-terrorist check (CTC) clearance.

Skills

Reinforcement Learning
LLM post-training
LLM fine-tuning
Large-scale evaluation pipelines
PyTorch
Keras
JAX
Python
Docker
Kubernetes
Ray
FastAPI
SLURM
Mechanistic interpretability
Frontend development
Node.js

Location

London
Birmingham
Cardiff
Darlington
Edinburgh
Salford
Bristol

Work Type

Hybrid working
Occasional remote work abroad

Experience Level

Research Engineer
Engineering leadership experience

Salary/Compensations

£65,000–£145,000
Level 3: £65,000–£75,000 (Base £39,850 + Technical Allowance £25,150–£35,150)
Level 4: £85,000–£95,000 (Base £47,355 + Technical Allowance £37,645–£47,645)
Level 5: £105,000–£115,000 (Base £61,620 + Technical Allowance £43,380–£53,380)
Level 6: £125,000–£135,000 (Base £74,605 + Technical Allowance £50,395–£60,395)
Level 7: £145,000 (Base £74,605 + Technical Allowance £70,395)

Benefits

5 days off and annual stipends for learning and development, and funding for conferences and external collaborations.
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.
Freedom to pursue research bets without product pressure.
Opportunities to publish and collaborate externally.
Modern central London office, or where applicable, option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol.
Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment.
At least 25 days’ annual leave, 8 public holidays, extra team-wide breaks and 3 days off for volunteering.
Generous paid parental leave (36 weeks of UK 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’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.

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.
As part of the application process, we monitor statistics on D&I.
We may be able to offer roles to applicant from any nationality or background. As such we encourage you to apply even if you do not meet the standard nationality requirements.