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Knowledge Graph & Ontology Engineer

Data Engineer Full-time Remote

Job details

Not specified Salary
Remote Eligibility
Not specified Experience
Full-time Employment

About this role

Role overview

Develop and extend an ontology and knowledge graph used to represent industrial equipment and its failure modes. The work combines symbolic reasoning with machine learning, including tools that let customers adapt the graph to their own equipment.

Responsibilities

- Expand the OWL ontology to cover additional concepts and equipment types. - Create SWRL rules that describe further equipment failure modes. - Build tooling that enables customers to extend the knowledge graph for their use cases. - Work across symbolic AI and machine learning as part of the knowledge representation effort.

Requirements

- Experience with at least one of OWL, SWRL, RDF, or SPARQL. - Ability to work with structured knowledge representations and reasoning rules. - Comfort working at the intersection of symbolic AI and machine learning.

Nice to have

- A background in industrial systems or reliability engineering.

Benefits and work setup

- Full-time, remote role.

Detected Nov 6, 2026
Last verified Nov 12, 2026

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