Google’s mission presents many exciting algorithmic and optimization challenges across different product areas including Search, Ads, Social, and Google Infrastructure. These include optimizing internal systems such as scheduling the machines that power the numerous computations done each day, as well as optimizations that affect core products and users, from online allocation of ads to page-views to automatic management of ad campaigns, and from clustering large-scale graphs to finding best paths in transportation networks. Other than employing new algorithmic ideas to impact millions of users, Google researchers contribute to the state-of-the-art research in these areas by publishing in top conferences and journals.
Reinforcement Learning with History Dependent Dynamic Contexts
Proceedings of the 40th International Conference on Machine Learning (ICML 2023), Honolulu, Hawaii
From Big Data to Big Analytics: Automated Analytic Platforms for Data Exploration
BigSurv 18 (Big Data Meet Survey Science) conference, Barcelona, Spain (2018)
Some of our teams
Our researchers work across the world
Together, our research teams tackle tough problems.