Note: The job is a remote job and is open to candidates in USA. RootCause.ai is building the next generation of causal AI by combining causal reasoning, knowledge representation, and advanced machine learning to uncover cause-and-effect relationships in enterprise data. The Founding Research Engineer will build ontology frameworks, knowledge representation systems, entity resolution capabilities, graph-based reasoning systems, and scalable data infrastructure that enable AI to understand and reason over complex real-world information.
Responsibilities
- Design and implement ontology frameworks that organize and connect structured and unstructured enterprise data
- Build knowledge representation systems capable of modeling real-world entities, relationships, and events
- Develop entity resolution and identity matching systems across large-scale datasets
- Create pipelines that leverage LLMs and machine learning models to extract and structure information
- Design graph-based systems and algorithms that support reasoning across large knowledge networks
- Collaborate with researchers and engineers to improve how causal discovery models interpret and reason over data
- Build scalable data processing infrastructure in Python and related technologies
- Prototype novel approaches to automated ontology induction and semantic mapping
- Evaluate emerging techniques in knowledge graphs, semantic systems, and AI infrastructure
- Contribute to the core research direction of the company while delivering production-quality systems
Skills
- Strong software engineering background with production experience building scalable systems
- Professional experience in Python development
- Experience designing data models, semantic layers, ontology frameworks, or knowledge representation systems
- Experience working with graph databases, graph algorithms, or knowledge of graph architectures
- Experience solving entity resolution, identity matching, schema mapping, or complex data integration challenges
- Experience building systems that organize, connect, or reason over large-scale structured and unstructured datasets
- Experience working with distributed data systems and production data pipelines
- Ability to work independently in ambiguous, research-oriented environments
- Strong problem-solving skills and comfort tackling novel technical challenges
Benefits
- Meaningful founding-team equity
- Medical, Dental, and Vision Coverage
- 401(k)
- Flexible PTO
- Fully Remote Work Environment
- Flexible Scheduling
- Opportunity for significant career growth as an early member of the team
Company Overview