Description
Pantograph is seeking research scientists to develop general models that learn from large-scale video and other data and act on robots. The role focuses on scaling simple methods across large datasets, including large-scale pre-training, self-supervised or goal-conditioned reinforcement learning, robotics models, and large-scale sequence modeling over high-dimensional observations. Candidates should have experience with large GPU clusters and Kubernetes, and the role values scientific integrity, simple and expressive metrics, and strong mathematical foundations.
