Research Scientist, Gemini Information Tasks

TL;DR

Research Scientist, Gemini Information Tasks (AI/ML): Driving research to improve Gemini's performance on information-seeking tasks, focusing on enhancing helpfulness and factuality of the model. Focus on modeling and data interventions for information-seeking scenarios, shaping Google’s products in this space.

Location: New York City, New York, US

Company

Our team works on improving Gemini on tasks where users interact with the model to complete information journeys; this includes improving helpfulness and factuality of Gemini models.

What you will do

• 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.

Requirements

• PhD in a relevant area, or an equivalent research/publication record.
• Strong software-engineering skills in addition to a research background.

Nice to have

• Experience in reinforcement learning.
• Experience in post-training methods.
• Experience in LLMs for information-seeking scenarios.