Senior Research Scientist, LLM & Gemini Capabilities

Google Inc.; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity incentives

Benefits package

Job summary

Google Research is seeking a Senior Research Scientist to drive bold research initiatives in Gemini and related areas in Mountain View. You will design experiments, prototype architectures, and evaluate large language model capabilities, collaborating with teams across Google.

You will publish findings, guide junior researchers, and contribute to the advancement of information retrieval, NLP, and AI systems while delivering tangible results for real-world products and platforms.

Qualifications

• PhD in CS or related field, or equivalent practical experience.
• 2 years of experience leading a research agenda.
• Experience with LLM training and generative models.
• One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Responsibilities

• Scope and drive research efforts to improve complex frontier Gemini capabilities, such as multi-turn, factuality and tool-use.
• Review the latest literature to guide research and experimental directions.
• Curate and generate data to evaluate and improve Gemini capabilities.
• Design and implement both human and automated evaluation strategies.
• Design and conduct supervised fine-tuning and reinforcement learning experiments to improve the performance of Gemini capabilities such as multi-turn and factuality.

Skills

LLM training

Leading research

Publications

Machine learning

Education

PhD in Computer Science

Job description

Google Research is seeking a Senior Research Scientist to drive bold research initiatives in Gemini and related areas in Mountain View. You will design experiments, prototype architectures, and evaluate large language model capabilities, collaborating with teams across Google.

You will publish findings, guide junior researchers, and contribute to the advancement of information retrieval, NLP, and AI systems while delivering tangible results for real-world products and platforms.