Research Scientist, Market Algorithms, Google Research

Google•Mountain View, CA

2d•$147,000 - $210,000

About The Position

As a Research Scientist at Google Research, you will help solve research questions at the intersection of computer science, AI, and economics and develop implementations of the solutions. Google maintains a portfolio of research projects spanning fundamental research, product innovation, product contributions, and infrastructure goals, while giving individuals and teams flexibility to emphasize different kinds of work. You will set up large-scale tests, quickly and broadly deploy promising ideas, manage deadlines and deliverables, and apply current theories to develop improved products, processes, or technologies. The work may include creating experiments, prototyping implementations, and designing new architectures to address real-world computer science problems. You will contribute to the broader research community by sharing and publishing findings, drawing on internal projects and collaborations with partner universities and technical institutes. Google Research teams collaborate across Google to build intelligent systems for Google products and adapt research to evolving business needs.

Requirements

PhD in Algorithms, Theoretical Computer Science, Machine Learning, Mathematics, Economics, or a related mathematical field, or equivalent practical experience.
Experience leading a research agenda.
Experience with advanced algorithms, economics, or artificial intelligence.
One or more scientific publication submissions for conferences, journals, or public repositories.

Nice To Haves

Two years of coding experience.
One year of experience leading research efforts and influencing other researchers.
Experience with AI applications and comfort experimenting with generative AI.
Experience in research market algorithms, also known as economics/computer science or algorithmic game theory.

Responsibilities

Author research papers to share research results and generate impact across functions and in the research community.
Drive project work by defining data structures, frameworks, designs, and evaluation metrics for research solution development and implementation.
Identify timelines and obtain resources needed for projects.
Identify new and upcoming research areas by interacting with potential external and internal collaborators.
Help develop long-term research strategy and plans to expand the impact of Google Research.
Develop research at the intersection of AI and economics.