GraphStax careers

Our neuro-symbolic application stack will be focused on serious problems for which deep-learning or other methods simply cannot address, such as in the fields of chemistry, medicine, biology, and research.

We utilize a combination of the best of both the learning capabilities of sub-symbolic vector-space representations, neural networks, and quantum machine learning with the explainability and reasoning power of symbolic systems, probabilistic modeling, and programming.