Research Scientist – Social AI & Multi-Agent Simulation

Google DeepMind; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google DeepMind is seeking a Research Scientist to develop cutting-edge social simulation techniques powered by large language models. The role focuses on building computational frameworks that simulate human behavior at scale, ensuring diversity and predictive accuracy.

You will collaborate across interdisciplinary teams and publish in top AI and social science venues, with responsibilities spanning experiments, metrics, and real-world impact via Google products.

Qualifications

• PhD in Computer Science, Computational Social Science, Statistics, or related field.
• 2 years of experience publishing research in machine learning or NLP conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, COLM).
• 2 years of experience in one or more of the following areas: social impact of AI, reinforcement learning, multimodal agents, computational social science, or natural language understanding.

Responsibilities

• Drive projects by defining key research questions.
• Design, implement, and evaluate experiments to provide clear answers.
• Publish research findings in top academic conferences and journals, staying up to date with the latest advancements in the field.
• Collaborate with internal and external scientific domain experts.
• Contribute to real-world impact by landing research in Google products and services.

Skills

PhD in CS/related field

2 years ML/NLP publications

2 years AI/RL/NLP impact experience

Education

PhD in Computer Science or related field

Job description

Google DeepMind is seeking a Research Scientist to develop cutting-edge social simulation techniques powered by large language models. The role focuses on building computational frameworks that simulate human behavior at scale, ensuring diversity and predictive accuracy.

You will collaborate across interdisciplinary teams and publish in top AI and social science venues, with responsibilities spanning experiments, metrics, and real-world impact via Google products.