Senior Research Scientist, AI Systems & AGI Strategy

DeepMind Technologies Limited; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google DeepMind is seeking a senior researcher to drive post-training research across LaMDA/Gemini initiatives. You will influence research direction, collaborate with multiple teams, and contribute to high-impact publications and evaluations.

The role emphasizes end-to-end research from data structures and evaluation metrics to long-term strategy, with a focus on safe, scalable AI development and broad scientific impact in a leading lab environment.

Qualifications

• PhD in Computer Science, a related field, or equivalent practical experience.
• 6 years of experience across multiple teams or projects in research agendas.
• One or more scientific publication submission(s) for conferences, journals, or public repositories.

Responsibilities

• Author research papers to share and generate impact of research results across organizations and in the research community.
• Contribute to research growth by sharing research trends and best practices within the community by reviewing academic papers, serving on program committees and grant panels, speaking at Google events or research conferences, or organizing research conferences and visioning activities.
• Deliver full projects by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
• Identify new and upcoming research areas by interacting with potential external and internal collaborators. Own long-term research strategy and plans to expand the impact of Google research.
• Identify undefined problems in existing technology and engage stakeholders and leaders to address them.

Skills

Research leadership

Publications submitted

Coding experience

Education

PhD in Computer Science or related field

Job description

Google DeepMind is seeking a senior researcher to drive post-training research across LaMDA/Gemini initiatives. You will influence research direction, collaborate with multiple teams, and contribute to high-impact publications and evaluations.

The role emphasizes end-to-end research from data structures and evaluation metrics to long-term strategy, with a focus on safe, scalable AI development and broad scientific impact in a leading lab environment.