Our streets shape us in more ways than we can imagine. In this talk, I offer a unique view into the promising applications of machine learning for street networks. This talk starts with a motivation for the problems, then I describe our research efforts in this space. Particularly, I highlight our approaches to address some of the challenges associated with employing machine learning for problem solving on street networks. This talk concludes with a reflection on current progress and ideas for future exploration. Catch you there!