🛠 Tech Stack

💼 About This Role

You'll develop novel methods for LLM-based ontology extraction and semantic alignment across code, docs, and issues. Your work will power an AI agent that organizes software knowledge into a unified ontology. This rare applied research role combines startup speed with JetBrains' resources and full support for publishing at top venues.

🎯 What You'll Do

• Develop LLM-based ontology construction from code, docs, and issue trackers.
• Create datasets, metrics, and benchmarks for measurable improvements.
• Prototype research ideas and collaborate with engineers for production.
• Collaborate with JetBrains Research and academic advisors on research agenda.

📋 Requirements

• PhD (or equivalent) in NLP, knowledge graphs, ontology learning, or related field.
• Strong publication record in knowledge graph construction, ontology learning, or information extraction.
• Experience applying LLMs to structured knowledge extraction tasks.
• Strong Python and PyTorch skills for implementing research ideas.

✨ Nice to Have

• Experience with ontology engineering or semantic web technologies (OWL, RDF, SPARQL).
• Background in code analysis, developer tools, or software engineering research.
• Experience with knowledge graph embedding methods or graph neural networks.

🎁 Benefits & Perks

• 📄 Full support for publishing ML research and attending conferences.
• 🏢 Startup autonomy with corporate resources and generous runway.
• 🌍 Work from home or office with up to 30 days remote abroad.
• 📚 Learning and development opportunities including conferences and courses.
• 💪 Mental health support and sports benefit (on-site gym or stipend).

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3On-site / Virtual Interview· 90 min