Science - Red Team Engineer
We are seeking a Science – Red Team Engineer to help evaluate the safety, reliability, and robustness of advanced artificial intelligence systems. In this role, you will design and execute systematic tests that probe model behaviour, identify unexpected capabilities or failure modes, and assess how systems respond to challenging, adversarial, or ambiguous inputs. You will work across research and engineering teams to turn scientific questions into practical evaluation programmes and develop new methods for measuring system performance.
Your responsibilities will include creating red-team scenarios, benchmarks, and test suites; conducting structured and exploratory investigations; analysing model outputs and identifying patterns of concern; and documenting findings in clear, actionable reports. You will help build tools and processes that enable repeatable evaluations at scale, contribute to risk assessments, and recommend mitigations or improvements. The role may involve testing for issues such as deceptive or unsafe behaviour, misuse potential, robustness failures, data leakage, prompt injection, and performance degradation under distribution shift. You will also communicate results to technical and non-technical stakeholders and support the prioritisation of follow-up work.
We are looking for someone with strong scientific reasoning, software engineering ability, and a rigorous approach to experimentation. You should be comfortable working with Python and common data analysis or machine learning tooling, designing experiments, interpreting qualitative and quantitative evidence, and operating effectively when the problem space is not yet well defined. Experience in AI safety, machine learning, security research, adversarial testing, human-computer interaction, or a related scientific discipline is valuable. We also value intellectual curiosity, clear written communication, sound judgement, and the ability to collaborate across disciplines. A willingness to investigate unfamiliar systems, challenge assumptions, and translate complex observations into practical recommendations is essential.
Science - Red Team Engineer
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