Minimum qualifications:

• PhD in Computer Science, a related field, or equivalent practical experience.
  
• 2 years of experience leading a research agenda.
  
• One or more scientific publication submission(s) for conferences, journals, or public repositories.
  

Preferred qualifications:

• 2 years of coding experience.
• 1 year of experience leading research efforts and influencing other researchers.
  
• Experience in a multidisciplinary academic group.
  
• Track record of publications in machine learning venues such as NeurIPS, ICLR, ICML, ACL.

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.

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

• 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. 
  
• Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under minimal guidance. Identify timelines and obtain resources needed. 
  
• Investigate and develop innovative machine learning algorithms, models and techniques, with a focus on multi-agent research and its applications.
  
• Contribute to conducting experiments based on the research question. Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance.