Research Engineer, Frontier Safety Loss of Control, DeepMind
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Minimum 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.
Our team mitigates risks from potentially misaligned AI. Currently, this primarily involves: designing, building, and testing monitors for potentially dangerous behaviours; developing and implementing response policies to preserve AI usefulness while mitigating risks; and foreseeing ways in which our control tools might be bypassed or degraded.
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.In this role, the core responsibility is to help Google prepare for the internal use of potentially misaligned AI systems. That means building defense-in-depth against AI that might persistently pursue goals that users and system developers did not intend.
Artificial intelligence will be one humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Responsibilities
- Identify ways that misaligned agents could cause harm.
- Identify strategies for preventing 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.
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