Research Engineer

1 week ago

London, United Kingdom AI Safety Institute Full time

The mission of the Chem/Bio team is to equip policymakers with an empirical understanding of safety-relevant AI capabilities, specifically at the intersection of AI with biology and chemistry.
The team studies AI capabilities including (but not limited to) providing detailed instructions and (multimodal) troubleshooting for chemical or biological lab work, designing new or modified biological agents, and autonomously completing tasks on behalf of the user.
The team works closely with other teams within the AI Safety Institute and wider UK government stakeholders, and external experts, to make sure our research has real-world impacts on AI safety and chemical and biological security through policy recommendations.
As a Research Engineer in the LLM evaluations team of the Chem/Bio workstream, you will develop and run evaluations that measure the ability of LLMs to provide detailed end-to-end instructions and troubleshooting advice for biological/chemical tasks and/or automate key steps of the scientific R&D pipeline. You will collaborate closely with other Research Engineers and receive coaching and mentorship from a Research Scientist with a mixed background in machine learning and biology, as well as our workstream lead who is an established expert in biosecurity.
Collaborate closely with other technical team members, performing code review and solving challenging problems alone or in pair programming sessions.
Design evaluations for multimodal inputs such as images, video or audio data.
Research and implement state of the art capabilities elicitation techniques.
Own and execute LLM testing exercises together with your technical colleagues.
Evaluate LLM agents for their ability to interact with specialist tools for chemical/ biological science.
Distill and communicate insights from your work to policy makers and other non-technical audiences.
Attend talks and journal clubs to keep up to date with the rapidly evolving AI landscape.
Relevant experience in industry, open-source collectives, or academia in a field related to machine learning, AI or computational biology.
Experience in writing production-level code that is scalable, robust and easy to maintain, ideally in Python.
Knowledge of scaffolding, prompting and/or evaluating large language models.
Hands-on experience illustrating and writing up empirical research findings, ideally producing a deliverable such as a blog post or paper.
Motivated to conduct research that solves concrete open questions in governance and policy making.
Subject matter expertise in Biology and Chemistry
Experience in benchmarking frontier AI models
Open-source software packages or conference contributions
This post requires Security Clearance (SC) as a minimum, and a willingness to undergo Developed Vetting (DV) if required. More detail on Security Clearances can be found on the UK Government website.
There are a range of pension options available which can be found through the Civil Service website.
Writing production quality code
Writing code efficiently
Python
AI safety or LLM evaluation experience
Research problem selection
Research science
Learn through coaching
Technical writing experience - either through academic papers or technical blog posts
Chemistry or Biology
Relevant academic publications
Internal Fraud Database
The Internal Fraud function of the Fraud, Error, Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud, or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed, or who would have been dismissed had they not resigned, for internal fraud. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. In this way, the policy is ensured and the repetition of internal fraud is prevented. For more information please see - Internal Fraud Register.
Successful candidates must undergo a criminal record check. People working with government assets must complete baseline personnel security standard (opens in a new window) checks.
The Civil Service embraces diversity and promotes equal opportunities. As such, 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.
Diversity and Inclusion
The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window) .
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