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Google DeepMindFast-track your ML job hunt :
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Google DeepMind · Zurich
Research Scientist, Gemini Safety
3/19/2026
Description
- Post-training / instruction tuning state of the art LLMs, focusing on text-to-text, image/video/audio-to-text modalities and agentic capabilities
- Exploring data, reasoning and algorithmic solutions to make sure Gemini Models are safe, maximally helpful, and work for everyone.
- Improve Gemini’s adversarial robustness, with a focus on high-stakes abuse risks.
- Design and maintain high quality evaluation protocols to assess model behavior gaps and headroom related to safety and fairness.
- Develop and execute experimental plans to address known gaps, or construct entirely new capabilities
- Drive innovation and enhance understanding of Supervised Fine Tuning and Reinforcement Learning fine-tuning at scale
Qualifications
- PhD in Computer Science, a related field, or equivalent practical experience.
- Significant LLM post-training experience.
- Experience in Reward modeling and Reinforcement Learning for LLMs Instruction tuning
- Experience with Long-range Reinforcement learning
- Experience in areas such as Safety, Fairness and Alignment
- Track record of publications at NeurIPS, ICLR, ICML
- Experience taking research from concept to product
- Experience with collaborating or leading an applied research project
- Strong experimental taste: Good judgment regarding baselines, ablations, and what is worth testing.
- Experience with JAX
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