Research Scientist, Gemini Agent Safety Post Training, DeepMind
Google· DeepMind
Mountain View, CA, USA$174k - $252knot specifiedPosted 2w ago
About the role
Research Scientist role focused on developing algorithmic solutions to advance user-facing architectures for Gemini and GenAI safety post-training. Requires LLM post-training expertise to ensure outputs are aligned and production-ready, with end-to-end ownership, cross-functional collaboration, and emphasis on safety and ethics.
Responsibilities
- Design, implement, and maintain high-quality protocols to identify safety gaps in model behavior across all Gemini and GenAI models, and feed these insights back into the post-training process to continuously improve both in-model and out-of-model protection.
- Explore, adapt, and apply innovative modeling and alignment techniques to solve real-world safety and alignment challenges under tight launch timelines.
- Drive innovation in model optimization, advancing the application of Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) techniques at massive scale.
- Partner closely with post-training, evaluation, and product teams to align incentives, close safety gaps, and influence safety decisions without direct authority.
Qualifications
- PhD in Computer Science, a related field, or equivalent practical experience.
- 1 year experience with Generative AI, Large Language Models, natural language processing, or Agent-based systems.
Skills
Required:Generative AI
Nice to have:AI safetyMachine Learning infrastructureReward modeling, RL for LLMs, instruction tuningResearch to product realizationPublications
Benefits
- Learn more about benefits at Google (link provided)
Last updated Oct 23, 2026. Interested? Apply on the company site.
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