The Research Engineer for the Frontier Safety Loss of Control team at DeepMind focuses on developing monitoring and control systems for potentially misaligned AI to mitigate risks. This role involves working in a cutting-edge AI research environment and requires collaboration with technical stakeholders. The engineer will contribute to strategies that ensure AI systems remain safe and aligned with user intentions. The position is based in either San Francisco or London and emphasizes the importance of safety and ethics in AI development.

• Bachelor's degree in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
• 5 years of experience in engineering and agentic assistance, including software development in Python.
• Experience working in a frontier AI research and development environment.
• Experience working in a professional software engineering or research team environment.
• Experience working with technical stakeholders.
• Experience in frontier model risk.

• Identify potential harms from misaligned agents and develop strategies for detection and prevention.
• Implement technical controls to monitor agent thoughts, behaviour, and respond to mitigate potential harms.
• Integrate various agent behaviour signals from across the organisation to inform response policies.
• Conduct adversarial testing of controls.
• Work with internal product teams to ensure that control systems are adopted over all high-risk AI surfaces.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.