Climate change is a complex, multifaceted, and far-reaching challenge with increasingly severe consequences for humanity as natural disasters multiply, sea levels rise, and ecosystems falter. Actions to address climate change take many forms, from designing smart electric grids to tracking greenhouse gas emissions through satellite imagery. Machine learning is emerging as one necessary aspect to mitigating and adapting to climate change via a wide array of techniques. Using machine learning to address climate change, a subset of the "AI for society" research area, requires close interdisciplinary collaboration among various fields with diverse practitioners. This workshop is intended to form connections and foster cross-pollination between researchers in machine learning and experts in complementary climate-relevant fields, in addition to providing a forum for those in the machine learning community who wish to tackle climate change.