Over the coming decade, deep learning is set to have a transformational impact on the natural sciences. The consequences are potentially far-reaching, and could dramatically improve our ability to model and predict natural phenomena over widely varying scales of space and time. Our AI4Science team encompasses world-leading experts in machine learning, computational chemistry, material science, quantum physics, molecular biology, software engineering, and other disciplines, who are working together to tackle some of the most pressing challenges in this field. We are seeking an intern to contribute to a research project at the intersection of machine learning and chemistry with a focus on retrosynthesis. This is an exceptional opportunity to drive ambitious research in a highly collaborative, diverse and global team of other researchers and engineers, and to push the state of the art in deep learning for the natural sciences.