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X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
San Francisco, CA, USA; Mountain View, CA, USA.
Minimum qualifications: - PhD in Computer Science, Computational Social Science, Statistics, or a 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.
Preferred qualifications: - 3 years of experience with training, evaluating, and interpreting large language models.
- Experience working with large and noisy datasets.
- Experience collaborating across interdisciplinary fields.
- Experience designing and executing independent research projects.
- Passion for research on societal benefits and implications of the internet and AI with a focus on simulation.
About the jobWe are looking for a Research Scientist to develop cutting-edge social simulation techniques powered by large language models. This role focuses on building computational frameworks of human simulations that are (1) accurate and predictive of real-world behavior, judgements, and opinions, (2) representative of societal diversity, and (3) scalable: simulating individuals to large groups and societies. Key responsibilities include formulating metrics and validation methods, developing frameworks for multimodal environments, collaborating with product teams to drive research, and publishing high-impact research in top AI and social science venues.
You will join an interdisciplinary team of domain experts, machine learning researchers, social scientists, and engineers to conduct cutting-edge research and advance the next generation of computational frameworks that simulate human social behavior at scale to advance societal health.
US: $147000 - $210000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
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.
