Research Scientist, Social Simulation and Agents, DeepMind

Research Scientist, Social Simulation and Agents, DeepMind Share Research Scientist, Social Simulation and Agents, DeepMind

• linkCopy link
• emailEmail a friend

corporate_fareDeepMindplaceSan Francisco, CA, USA; Mountain View, CA, USA

Apply

Share Research Scientist, Social Simulation and Agents, DeepMind

• linkCopy link
• emailEmail a friend

info_outline XApplicants 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 job We 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. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.