Research Engineer, Agentic Security & Privacy Post-Training for Gemini, DeepMind
Mountain View, CA, USA; New York, NY, USA
USD 174K-252K Mid-level Full Time
Tasks
- Build post training data and tools for security and privacy
- Coordinate with stakeholders on tool use and coding capabilities
- Develop out of model guardrails
- Ensure security and privacy gains do not impact utility
- Generalize solutions into reusable libraries and frameworks
- Improve adversarial evaluation techniques
- Integrate security and privacy improvements into Gemini
- Share knowledge through publications, open source, and education
Perks/Benefits
- N/A
Skills/Tech-stack
Adversarial Testing | Computer Security | Evaluation | Generative Models | Guardrails | JAX | Language Processing | Machine Learning | Machine Learning Security | Natural Language | Natural Language Processing | Privacy Engineering | PyTorch | Python | Software Architecture | Software Design
Education
Roles
Regions
Countries
States
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