The Research Scientist role at Google Ads focuses on developing novel machine learning and large language modeling techniques to enhance Google products. This position involves working on large-scale tests and deploying innovative ideas while managing deadlines and deliverables. The team is dedicated to solving real-world problems in areas such as machine learning, natural language processing, and data mining. Additionally, the role emphasizes collaboration with researchers across Google and DeepMind, contributing to the wider research community through publications and shared findings.

• PhD in Computer Science, a related field, or equivalent practical experience.
• Experience working on modern large language model post-training or core generative model development in an industry AI lab, research institute, or frontier AI organization.
• One or more scientific publication submission(s) for conferences, journals, or public repositories.

• Author research papers to share and generate impact of research results across the team and in the research community.
• Help in growing research business across teams by sharing research trends and best practices within the community.
• Develop novel machine learning and large language modeling techniques that influence Google products.
• Post-train and finetune Large Language Models for large-scale retrieval and other Google Ads applications.
• Collaborate closely with researchers across Google and DeepMind.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.