Senior Staff Research Scientist, Cloud AI Research

Google LLC; Sunnyvale, Mountain View (CA, CA); Presencial; USD 207 000 - 300 000; Tempo integral

Resumo da oferta

Google LLC is seeking a Staff Research Scientist for Google Cloud AI Research in Sunnyvale/Mountain View. The role involves setting up large-scale tests, deploying ideas, and guiding experiments from concept to implementation, across multiple teams and real-world problems.

You will publish findings to advance AI research, collaborate with universities globally, and contribute to products across cloud AI applications. Strong publication and leadership in research are essential.

Qualificações

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

Responsabilidades

• Author research papers to share and generate impact of research results across organization and in the research community.
• Assist in research growth by sharing research trends and best practices within the community by reviewing academic papers, and serving on program committees and grant panels.
• Deliver on large portions of a project 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.

Conhecimentos

Research leadership

Interdisciplinary collaboration

Formação académica

PhD in Computer Science

Descrição da oferta de emprego

Google LLC is seeking a Staff Research Scientist for Google Cloud AI Research in Sunnyvale/Mountain View. The role involves setting up large-scale tests, deploying ideas, and guiding experiments from concept to implementation, across multiple teams and real-world problems.

You will publish findings to advance AI research, collaborate with universities globally, and contribute to products across cloud AI applications. Strong publication and leadership in research are essential.