Research Engineer, Frontier Safety Mitigations, DeepMind
San Francisco, CA, USA; Mountain View, CA, USA
USD 174K-252K Mid-level Full Time
Tasks
- Advance research in automated red teaming and adversarial robustness
- Build advanced classifiers and data pipelines for misuse detection
- Build cross context monitoring to detect coordinated harms
- Create testing environments and deploy mitigations
- Develop signal aggregation across user sessions
- Evaluate and secure agentic AI systems with threat models
- Implement account level response systems to detect track and apply strikes
- Own end to end automated evaluation to model iteration
- Test AI systems with multi turn agentic attacks to uncover vulnerabilities
Perks/Benefits
- N/A
Skills/Tech-stack
Adversarial Machine Learning | Agentic AI | Anomaly Detection | Automated Red Teaming | Classifier | Data Pipelines | Evaluation | Fine Tuning | JAX | LLM Training | Machine Learning | Model Fine-tuning | Monitoring Systems | Red Teaming | Signal aggregation | TPU | Threat modeling
Education
Roles
Regions
Countries
States
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