The Research Engineer for the Frontier Safety Loss of Control team at DeepMind focuses on developing monitoring and control mechanisms for potentially misaligned AI systems. This role involves building defenses against AI risks while ensuring the systems remain useful. The team is dedicated to addressing the challenges posed by advanced AI technologies and aims to create safe AI solutions. The engineer will work collaboratively to solve complex problems related to AI behavior and control.

• 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 and behavior, and respond to mitigate potential harms.
• Integrate various agent behavior signals from across the organization 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.