About Google
Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
In this role, you will be a technical contributor capable of advancing fresh investigative hypotheses from conception to live release with full lifecycle accountability, balancing experimentation with rapid incident mitigation. Learn more about benefits at Google . Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA; London, UK .
What they're looking for
- PhD degree in Computer Science, a related field, or equivalent practical experience
- 2 years of experience in Large Language Model safety or security
More about this role
- Drive innovation and understanding of safety and security jailbreaks, owning the problem and delivering mitigations which can be deployed at scale in partnership with product areas.
- Develop red and blue teaming methods for frontier GenAI models spanning text-to-text, multimodal, and agentic capabilities, delivering actionable insights and solutions.
- Explore data, reasoning and algorithmic solutions to make sure Gemini Models are safe, maximally helpful, and work for everyone.
- Improve Gemini’s adversarial with a focus on high-stakes abuse risks in agentic settings.
- Develop and execute experimental plans to address known gaps, or construct entirely new capabilities.
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- 2 years of experience in Large Language Model safety or security.
- Experience in developing and leveraging agentic workflows around safety, behavior, and alignment.
- Experience with synthetic data generation pipelines, building evaluations and mitigations for non-verifiable tasks using methods such as LLM-as-a-judge, rubric-based rewards, etc.
- Experience taking research from concept to product.
- Experience with...
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