Bachelor degree or equivalent practical experience in a management, scientific, technical or engineering field. 8 years of experience writing code in a shared, version-controlled codebase with other contributors, which may include research software. 3 years of experience training, fine-tuning or evaluating machine learning models. Master's degree or PhD in Chemistry, Physics, Chemical or Nuclear Engineering, Biology, or Computational Science, or a related field. Experience building classifiers or evaluation infrastructure for large language models. Experience applying statistics to machine learning evaluation. Experience running software in production, including monitoring, on-call or incident response. Experience in chemical, biological, radiological or nuclear security, export control, or adversarial work such as red teaming, security research or abuse prevention. Google’s CBRNE team (Chemical, Biological, Radiological, Nuclear and Explosives) in Responsible Frontier AI Research makes sure that as Gemini gets better at science, it does not become a tool for catastrophic harm. Deep expertise in one field is plenty; This is a research engineering role: you will do applied research, write production code, and launch the resulting safeguards to billions of users. This role is probably not for you if you want to publish most of what you do, or if you are looking for a policy or purely research position. Expect strict data managing, tight release timelines, and an on-call rotation. You will read and debate technical material about mass-casualty harm and how to prevent it.



Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Build novel safeguards and attack them with automated and manual red teaming, while measuring their cost to legitimate scientific research. Design, build and run evaluations for chemical, biological, radiological, nuclear and explosives risk in frontier models, including agentic systems risk. Partner with leading scientific experts to turn their judgment into datasets and automated graders, managing sensitive data under strict security controls. Communicate results, including uncertainty and negative findings, to technical staff and leadership. We are committed to equal employment chance regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. #

📌 Research Engineer, Chemical, Biological and Nuclear AI Safety, DeepMind (Toronto)
🏢 Google
📍 Toronto