Description
We are seeking a Research Scientist to drive research in Gemini for information tasks. You will work on improving Gemini's quality of information-seeking responses, focusing on helpfulness, factuality, grounding, and other aspects. This is an opportunity to explore fundamental issues in modeling and data interventions for information-seeking scenarios, with significant opportunities in shaping Google's products in this space.
Responsibilities: Research on post-training (e.g., RL and SFT) for information-seeking scenarios in Gemini Research on novel evaluation methods for improving model quality, grounding, and factuality Research on orchestration of tool calls, and improved retrieval methods, for information-seeking scenarios
About You: To succeed in this role, you should have a PhD in a relevant area, or an equivalent research/publication record. You should also have strong software-engineering skills in addition to a research background. Experience in reinforcement learning, post-training methods, and LLMs for information-seeking scenarios is an advantage.