We're building the next generation of AI algorithms Our first technology is a vision system that understands the contents of images and videos. With it, we plan to automate pattern recognition and reconstruction in domains like image and video search, medical image analysis, gaming, robotics, surveillance, navigation, and geo-spatial image analysis. We are building a unified algorithmic architecture to achieve human-level intelligence in vision, language, and motor control. Currently, we are focused on visual perception problems, like recognition, segmentation, and scene parsing. We are interested in general solutions that work well across multiple sensory domains and tasks. Using inductive biases drawn from neuroscience, our system requires orders of magnitude less training data than traditional machine learning techniques. Our underlying framework combines advantages of deep architectures and generative probabilistic models. We use modern software engineering practices, and we strive to maintain a codebase and a culture that are a joy to work in. We have raised ~$70M in funding and are not constrained by publication, grant applications, or product development cycles. At Vicarious, there is room to develop new approaches that would otherwise not be supported in academia or industry. Learn about our research strategy.

The Vicarious team leverages progress in machine learning and computer vision communities, and we are always looking for exceptional researchers to join our team. Read about open positions at Vicarious.