This role is for a virologist with extensive wet lab experience to work on biology evaluations and mitigations of large language models (LLMs) within the Responsible Development & Innovation team (ReDI) at Google DeepMind. These are the evaluations which allow decision-makers to ensure that our model releases are safe and responsible. The role involves developing and maintaining these evaluations and the infrastructure that supports them.
Artificial Intelligence could be one of humanityβs most useful inventions. At Google DeepMind, weβre a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
We are looking for a virologist with extensive lab experience to work as a Subject-Matter-Expert as part of the ReDI team. This role will involve creating and executing biology evaluations (akin to writing exams for students but the exams are now for models), which are used to make release decisions for our cutting-edge AI systems as well as mitigations.
You will apply your knowledge and understanding of virology to devise evaluation methodology, contribute to building questions and scenarios and run recurrent or goal directed studies (e.g. redteaming, knowledge elicitation studies). You will analyse the results from evaluations, communicate them clearly to advise and inform decision-makers on the safety of our AI systems. The evaluation results will also be used to refine our harm frameworks and inform our mitigation strategy.
In this role, you will work closely with other Subject-Matter-Experts (in chemistry, biology and nuclear physics) as well as Research Engineers and Research Scientists, focused on developing AI systems and with experts in AI ethics and policy.
You are an experienced lab virologist who has a keen interest in how Biology and AI intersect. You are passionate and curious about the potential impact of AI on biology and Science in general, energised by both the vast benefits these technologies offer and the importance of working to proactively mitigate any associated risks.
In order to set you up for success in this role, we look for the following skills and experience:
In addition, some of the following would be an advantage:
Deadline to apply: 6pm BST, 1st June 2025
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