Job Description
Rippletide is seeking a Research Scientist specializing in Neuro-Symbolic AI to join our Paris-based Research team. In this role, you will push the boundaries of what is possible when neural learning meets structured symbolic reasoning, developing the theoretical and algorithmic foundations that power our hypergraph decision database. Your work will directly influence how AI agents perceive, plan, and act in complex enterprise environments. If you are passionate about building world-model agents that combine the flexibility of deep learning with the rigor of formal logic, this is the role for you.
What you'll do :
Conduct original research in neuro-symbolic AI, focusing on the integration of neural network architectures with symbolic reasoning over hypergraph structures.
Develop novel algorithms for multi-hop inference, causal reasoning, and planning that operate efficiently over large-scale, dynamic knowledge representations.
Design and evaluate world-model agent architectures that leverage hypergraph reasoning to maintain coherent beliefs, predict outcomes, and select actions under uncertainty.
Publish findings in top-tier venues such as NeurIPS, ICML, ICLR, AAAI, and KR, and actively contribute to the broader research community through open-source releases and collaborations.
Work closely with the Engineering team to transition research prototypes into production-grade components, ensuring that scientific advances translate into real customer value.