Apply machine learning evaluation and production coding to chemical, biological, radiological, nuclear, and explosives AI safety at Google.Google’s CBRNE team needs a research engineer for applied research, safeguards, and frontier model evaluations. You will work with biologists, chemists, and physicists while developing systems that address catastrophic harm risks. The work includes sensitive data management, strict release timelines, and on-call responsibilities.Key Responsibilities:



Build safeguards and test them through automated and manual red teamingMeasure safeguards’ costs to legitimate scientific researchDesign evaluations for CBRNE and agentic systems risksArchitect reliability for safeguards and incident responseCommunicate uncertainty and negative findings to technical leadershipRequirements: Bachelor degree or equivalent practical experience in a relevant fieldEight years writing code in shared version-controlled codebasesThree years training, fine-tuning, or evaluating machine learning modelsExperience building classifiers or evaluation infrastructure for language modelsExperience with CBRNE security, export control, or adversarial workUse machine learning, software engineering, and scientific risk evaluation to strengthen Google’s frontier AI safeguards.#J-18808-Ljbffr

📌 Chemical Biological Nuclear Ai Engineer (Toronto)
🏢 Google
📍 Toronto