Research Scientist, Gemini Safety and Behavior, DeepMind
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Minimum qualifications:
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- 2 years of experience in Large Language Model safety or security.
Preferred qualifications:
- 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 collaborating or leading an applied research project.
- Strong experimental taste with good judgment regarding baselines, ablations, and what is worth testing.
- Track record of publications at NeurIPS, ICLR, ICML.
About the job
The Alignment and Reliability division investigates and creates auditing frameworks, defensive safeguards, specialized toolsets, and autonomous agents to upgrade GDM’s flagship foundation systems. The mandate for the Research Scientist/Engineer centers on engineering novel heuristic and statistical mechanisms to elevate user-facing architectures. The operating rhythm is swift and deeply team-oriented, anchored by a collective ethos of mutual assistance, resilience, and camaraderie intervening during urgent escalations while shaping next-generation intelligence.
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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- 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.
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