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.

Requirements

• 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

• 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.