Research Engineer, Frontier Safety Loss of Control, DeepMind

Research Engineer, Frontier Safety Loss of Control, DeepMind DeepMind – San Francisco, CA, USA Qualified applicants with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Required Qualifications 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. Preferred Qualifications Experience of engineering or product design for AI tools or assistants, especially those focused on ML Research and Development (R&D). Experience with cybersecurity detection and response. Experience with collaborating or leading an applied ML project. Experience with research, and with LLM training and inference. Knowledge of AI control, chain-of-thought and other monitoring, faithfulness and monitorability and related research areas. About the job Our team develops monitoring and control for potentially misaligned AI to mitigate risks of extreme harms. We are looking for an engineer who can rapidly iterate to solve never-before-seen problems with creativity and thoroughness. We are looking for a research engineer for the Frontier Safety Loss of Control team within the AGI Safety and Alignment Team based in either San Francisco or London. DeepMind is a dedicated scientific community, committed to ‘solving intelligence’ and ensuring our technology is used for widespread public benefit. The Loss of Control team contributes to a defense in depth against the risk of misaligned AI systems being deployed. We take the possibility of very advanced AI seriously. We don’t think control is a suitable alternative to alignment in the limit of advancing intelligence. But while AI remains effectively monitorable, we think that control is an important part of an overall strategy for building safe AI. Responsibilities Identify ways that misaligned agents could cause harm. Identify strategies for detecting that an agent might imminently cause harm. Implement technical controls to monitor agent thoughts, behaviour and respond to mitigate potential harms. Stitch together various agent behaviour signals from across the organisation to inform response policies. Salary & Benefits The US base salary range for this full‑time position is $174,000‑$252,000 plus bonus, equity, and benefits. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Salary details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits. Google is proud to be an equal‑opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expectations of parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. #J-18808-Ljbffr Google Inc.