Research Engineer, Frontier Safety Risk Assessment
DeepMind(1 month ago)
About this role
A Research Engineer on the Frontier Safety Risk Assessment team contributes novel research to measure and manage catastrophic risks from current and future frontier AI systems. The role sits within Google DeepMind's AGI Safety and Alignment efforts and supports building decision-relevant, trustworthy evaluation systems and validating mitigations. It requires balancing conceptual research and practical engineering to inform safety priorities and organizational decision-making.
Required Skills
- Deep Learning
- Foundation Models
- Python
- Experiment Design
- Risk Assessment
- Forecasting
- Scenario Planning
- Communication
- Engineering
- LLM Training
Qualifications
- PhD in Machine Learning
- PhD in Computer Science
About DeepMind
deepmind.googleGoogle DeepMind is an AI research lab within Alphabet focused on solving intelligence and building safe, general-purpose artificial intelligence to advance science and benefit humanity. It develops cutting-edge machine learning methods—especially deep learning, reinforcement learning and neuroscience-inspired models—and has produced landmark systems such as AlphaGo, AlphaZero and AlphaFold. DeepMind partners with academia, healthcare providers and other Google teams to apply AI to scientific discovery, medicine, energy efficiency and real-world problems. The organization emphasizes safety, interpretability and responsible deployment alongside publishing research and tools for the wider community.
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