Research Scientist: Machine Learning

6 days ago

London, United Kingdom AI Safety Institute Full time

As AI systems become more advanced, the potential for misuse of their cyber capabilities may pose a threat to the security of organisations and individuals. Cyber capabilities also form common bottlenecks in scenarios across other AI risk areas such as harmful outcomes from biological and chemical capabilities and from autonomous systems. One approach to better understanding these risks is by conducting robust empirical tests of AI systems so we can better understand how capable they currently are when it comes to performing cyber security tasks.
The AI Safety Institute’s Cyber Evaluations Team is developing first-of-its-kind government-run infrastructure to benchmark the progress of advanced AI capabilities in the domain of cyber security. Our goal is to carry out and publish scientific research supporting a global effort to understand the risks and improve the safety of advanced AI systems. Our current focus is on doing this by building difficult cyber tasks that we can measure the performance of AI agents against.
We are building a cross-functional team of cybersecurity researchers, machine learning researchers, research engineers and infrastructure engineers to help us create new kinds of capability and safety evaluations, and to scale up our capacity to evaluate frontier AI systems as they are released.
The AI Safety Institute research unit is looking for exceptionally motivated and talented Research Engineers, to work with a range of Cyber Security and policy specialists to measure the capabilities of AI systems against scenarios covered by our risk models – with a focus on measuring their performance on tasks related to cyber security.
This could include designing experiments ranging from measuring the uplift that AI systems might provide to malicious attackers, to conducting research to develop mitigations to prevent misuse of AI systems or better defend against AI enabled cyber attacks.
Relevant experience in industry, relevant open-source collectives, or academia in a field related to machine learning, AI, AI security, or computer security.
Experience in building software systems to meet research requirements and have led or been a significant contributor to relevant software projects, demonstrating cross-functional collaboration skills.
Knowledge of training, fine-tuning, scaffolding, prompting, deploying, and/or evaluating current cutting-edge machine learning systems such as large language models.
Motivated to conduct research that is not only curiosity driven but also solves concrete open questions in governance and policy making.
Comprehensive understanding of large language models (e.g. This includes both a broad understanding of the literature, as well as hands-on experience with things like pre-training or fine tuning LLMs.
Extensive Python experience, including understanding the intricacies of the language, the good vs. Direct research experience (e.g. PhD in a technical field and/or spotlight papers at NeurIPS/ICML/ICLR).
Experience working with world-class multi-disciplinary teams, including both scientists and engineers (e.g. in a top-3 lab).
We are hiring individuals at all ranges of seniority and experience within the research unit, and this advert allows you to apply for any of the roles within this range. There are a range of pension options available which can be found through the Civil Service website.
Research problem selection
Research science
Writing code efficiently
Python
Frontier model training knowledge
AI safety research knowledge
Learn through coaching
Chemistry or Biology

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