Location
valencia, provincia de valencia, Spain
Posted
June 10, 2026
Job Description
LLMs get causal questions right when the answer is already in their training data, but often fall apart on novel or complex systems. Ontologic Intelligence is building scalable persistent causal reasoning infrastructure: the layer between raw data and AI that encodes cause-and-effect with uncertainty, provenance, and support for dynamic, messy real-world structure. Design and implement a causal graph compiler that ingests messy real-world data and produces structured, query-ready causal representations
Design rigorous experiments to validate intervention and counterfactual queries over compiled causal graphs
Contribute to patent-backed research on agentic causal graph reasoning, interpretation-conditioned inference, and Causal World Models
Publish and present research at top venues in causality, ML, and AI
Strong background (PhD, MSc, or equivalent depth through self-directed work) in Computer Science, Mathematics, Physics, or a related quantitat...
Design rigorous experiments to validate intervention and counterfactual queries over compiled causal graphs
Contribute to patent-backed research on agentic causal graph reasoning, interpretation-conditioned inference, and Causal World Models
Publish and present research at top venues in causality, ML, and AI
Strong background (PhD, MSc, or equivalent depth through self-directed work) in Computer Science, Mathematics, Physics, or a related quantitat...