Research Scientist - GenAI Factuality

Snapshot

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. We are looking for a research scientist who will drive research in GenAI for information seeking scenarios. The candidate will primarily work on post-training, but could potentially also work on model-external interventions

About Us

Our team works on improving the factuality of Gemini post-trained models.  In addition, we have developed novel post-training methods to improve the quality of Gemini models in search on mode.  Our work impacts product surfaces including AI Mode, Gemini App, AI Studio and Vertex AI.

The Role

In this role, we expect the candidate to work on improving Gemini for information-seeking tasks, focusing on quality of information-seeking responses (helpfulness, factuality, grounding, and other aspects). It is an opportunity to explore fundamental issues in modeling and data interventions for information-seeking scenarios, with very significant opportunities in shaping Google’s products in this space.

Key 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

In order to set you up for success as a Research Scientist at Google DeepMind,  we look for the following skills and experience:

• PhD in a relevant area, or an equivalent research/publication record
• Strong software-engineering skills in addition to a research background
• Experience: Anything from recent doctoral graduates to candidates with extensive post-graduate research experience in Generative AI factuality or related fields.

In addition, the following would be an advantage for this role: 

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

The US base salary range for this full-time position is between $141,000 - $202,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.