Minimum qualifications:

• PhD in Computer Science, a related field, or equivalent practical experience.
• 2 years of experience leading a research agenda.
  
• Experience coding in Python, JavaScript, R, Java, or C++.
• One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred qualifications:

• 2 years of coding experience.
  
• 1 year of experience leading research efforts and influencing other researchers.
  

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Join a great team of research scientists and engineers that are addressing real world problems for Google to help AI transform the world!

The team addresses AI research issues motivated by Google's mission to organize the world's information and make it universally accessible and useful. We focus on solving grand scientific and engineering issues in science, systems, and infrastructure via AI, foundation models, and agentic solutions. We work on a range of unique problems with the goal of maximizing both scientific and real-world impact – both pushing the AI in top venues and collaborating across teams to bring innovations to production.

Responsibilities

• Author research papers to share and generate impact of research results across function and in the research community.
  
• Help in growing research business by sharing research trends and best practices within the community.
  
• Drive project work 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. Help in developing long-term research strategy and plans to expand the impact of Google research.
  
• Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them.