# Research Scientist, Gemini Information Tasks

**Company**: Google DeepMind
**Location**: New York City, New York, US
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q15733006

**Apply**: https://job-boards.greenhouse.io/deepmind/jobs/7450900
**Canonical**: https://yubhub.co/jobs/job_ce8db8e0-917

## 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.

## Skills

### Required
- RL
- SFT
- LLMs
- post-training methods
- evaluation methods

### Nice to have
- reinforcement learning
- orchestration of tool calls
- improved retrieval methods