4 days ago
London, United KingdomSenior
Responsibilities
- Prototype and deliver scalable engineering solutions across the Responsibility research portfolio.
- Architect and optimize training and inference pipelines to detect and evaluate harmful manipulation in frontier language models.
- Develop post-training strategies to mitigate deceptive persuasion, sycophancy, covert influence, and related manipulation risks.
- Collaborate with Research Scientists to translate safety research into robust implementations and present results to cross-functional stakeholders.
- Build and maintain evaluation infrastructure to track model safety performance across releases.
Requirements
- Master's degree or PhD in Computer Science or a related technical field.
- Experience working on AI safety or responsible AI research.
- Preferred: Master's degree or PhD in Computer Science, Engineering, or a related field focused on Machine Learning.
- Preferred: experience with Python and C++ for high-performance ML library development.
- Preferred: experience with Large Language Model demitigation, adversarial robustness, harmful manipulation detection, or AI safety evaluation and mitigation.
- Preferred: experience building evaluation frameworks, benchmarks, or automated testing pipelines for ML models.
- Preferred: prior direct experience working on AI safety or responsible AI research.
Categories
AI ResearchML Engineering
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.