Staff Research Scientist, Cloud AI — Innovate Real-World AI

Google; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google Cloud AI Research team conducts fundamental research and develops new AI technologies. As a Research Scientist, you will design large-scale experiments, prototype implementations, and architectures to advance products and infrastructure, while driving deadlines and delivering impact across the organization.

You will publish findings, collaborate with universities worldwide, and contribute to products that apply machine learning and data processing at scale.

Qualifications

• 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 submissions.

Responsibilities

• 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. Develop long-term research strategy and plans to expand the impact of Google research.
• Identify complex but defined problems/gaps in existing technology and engage stakeholders and leaders to address them.

Skills

Python

JavaScript

R

Java

C++

Education

PhD in Computer Science or related field

Job description

Google Cloud AI Research team conducts fundamental research and develops new AI technologies. As a Research Scientist, you will design large-scale experiments, prototype implementations, and architectures to advance products and infrastructure, while driving deadlines and delivering impact across the organization.

You will publish findings, collaborate with universities worldwide, and contribute to products that apply machine learning and data processing at scale.