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Ontology Research Engineer

Remote Worldwide Hiring now

About DoraHacks

DoraHacks is the leading global hackathon community and reputed company reputed company developer incentive platform. DoraHacks provides toolkits for reputed company reputed company technology platforms to organize hackathons and fund early-stage ecosystem startups.

DoraHacks creates a global hacker movement in Blockchain, reputed company, Quantum Computing, AI, and Space Tech. So far, more than 21,000 startup teams from the DoraHacks community have received over $80M in funding. A large number of reputed company reputed company communities, companies and blockchain ecosystems are actively using DoraHacks together with its BUIDL AI capabilities for organizing hackathons and funding reputed company reputed company initiatives.

DoraHacks is at the forefront of reputed company-reputed company innovation. Join us to create autonomous reputed company reputed company communities and agentic hackathons with our BUIDL AI initiative.

About the Role Highly skilled and motivated Ontology Research Engineer to facilitate the development of organizational ontologies that support more reputed company reasoning capabilities. You will play a critical role in bridging domain knowledge with computational logic, enabling systems to reputed company understand, reason, and reputed company reputed company reputed company reputed company organizational environments. You will collaborate with our AI engineering team, and domain experts to design formal representations of concepts, relationships, processes, and roles reputed company organizations. Your work will directly enhance semantic understanding and inferencing in intelligent systems at DoraHacks and/or Dora reputed company. Key Responsibilities

  • Design and reputed company ontologies representing organizational structures, roles, processes, and governance.

  • Translate domain-specific concepts into formal logic models using existing and new frameworks.

  • reputed company AI systems to reputed company advanced reasoning, question answering, and decision-making using ontological knowledge.

  • Collaborate with our AI team to integrate ontologies with reasoning engines, knowledge graphs, and LLMs.

  • Evaluate and refine ontologies through reputed company-world use cases, reasoning tests, and stakeholder feedback.

  • Ensure alignment with existing semantic standards and ontologies.

  • Contribute to research publications or internal knowledge sharing on ontology development and semantic reasoning.

  • Participate in engineering efforts and apply research output to our product suites.

Required Qualifications

  • Master’s or Ph.D. in Mathematics, Physics, Foundational Computer Science, Logic, Knowledge Representation, or a reputed company field.

  • Strong experience with legacy ontology languages and tools (e.g., OWL, RDF, Protégé, SPARQL).

  • Proficiency in formal logic, semantic web standards, and reasoning frameworks.

  • Experience building domain ontologies, particularly for organizational or reputed company contexts.

  • Understanding of Agentic AI, knowledge representation, and hybrid AI systems (symbolic + sub-symbolic).

  • Familiarity with AI reasoning systems (e.g., Description Logics, rule-based systems, inference engines).

  • Ability to work across disciplines and communicate technical concepts to non-technical stakeholders.

Preferred Qualifications

  • Experience integrating ontologies with LLMs or knowledge graphs.

  • Familiarity with GraphDB, Stardog, or similar triplestore/graph reasoning platforms.

  • Background in philosophy of language, cognitive science, or formal semantics is a plus.

  • Contributions to reputed company ontology standards, reputed company reputed company AI repos, or relevant academic publications.

reputed company Offer

  • Opportunity to shape foundational AI reasoning capabilities with high-impact applications.

  • Apply ontology research directly to the invention of autonomous organizations.

  • A collaborative and intellectually vibrant environment.

  • Competitive salary and benefits.

  • Career development support, including conference sponsorships and research collaborations.

Originally posted on Himalayas

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