We're seeking a versatile Research Scientist to join our Gemini Safety team, responsible for advancing the safety and fairness behaviour of state-of-the-art AI models. As a key member of our team, you will apply and develop cutting-edge data and algorithmic solutions to ensure Gemini models are safe, maximally helpful, and work for everyone. Key responsibilities include: * Post-training/instruction tuning state-of-the-art language models, focusing on text-to-text, image/video/audio-to-text modalities and agentic capabilities * Exploring data, reasoning, and algorithmic solutions to ensure Gemini models are safe and work for everyone * Improving Gemini's adversarial robustness, with a focus on high-stakes abuse risks * Designing and maintaining high-quality evaluation protocols to assess model behaviour gaps and headroom related to safety and fairness * Developing and executing experimental plans to address known gaps or construct entirely new capabilities To succeed in this role, you should have a PhD in Computer Science or a related field, significant LLM post-training experience, and a track record of publications at top conferences. Experience in reward modelling and reinforcement learning for LLMs instruction tuning, long-range reinforcement learning, safety, fairness, and alignment is an advantage.
PhD in Computer Science or a related field
Significant LLM post-training experience
Post-training/instruction tuning state-of-the-art language models
Exploring data, reasoning, and algorithmic solutions
Improving Gemini's adversarial robustness
Reward modelling and reinforcement learning for LLMs instruction tuning