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.
Requirements
- Experience with Advanced Algorithms, Economics or Artificial Intelligence.
- 2 years of coding experience.
- 1 year of experience leading research efforts and influencing other researchers.
- 1 year experience in machine learning, generative AI, and AI algorithms.
- Experience in AI applications.
- Research experience in market algorithms.
Responsibilities
- Author research papers to share and generate impact of research results across function and in the research community.
- Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation.
- Identify new and upcoming research areas by interacting with potential external and internal collaborators.
- Develop research at the intersection of AI and economics.
- 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.
- creating experiments and prototyping implementations to designing new architectures
- help solve research questions at the intersection of computer science, AI, and economics and develop implementations of the solutions.
Other
- PhD in Algorithms, Theoretical CS, ML, Mathematics, Economics, a related mathematical 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.
- Identify timelines and obtain resources needed.
- Help in developing long-term research strategy and plans to expand the impact of Google research.
