Applied Research Engineer
Core
Building foundational intelligence infrastructure for private capital and information-led industries, focusing on knowledge representation, retrieval, and reasoning over proprietary data.
Role type
Applied Research Engineer (Knowledge & Retrieval Infrastructure)
Builds
Core knowledge and retrieval infrastructure, hybrid retrieval systems, information extraction pipelines
Domain
Private capital / Information-led industries / Knowledge Graphs / NLP
Deliverable
production ML models
Required skills
Graph databases, Information retrieval, Semantic retrieval, Knowledge representation, Enterprise cloud environments, Azure, Production system scaling
Preferred skills
Ontology design, Contextual understanding, Re-ranking algorithms, Noisy document processing, Schema evolution, First principles thinking
Technologies
Neo4j, Azure
Responsibilities
Designing knowledge models and ontologies, Building hybrid retrieval systems, Developing information extraction pipelines, Managing knowledge quality and evolution, Turning research into production grade infrastructure
Seniority
Mid-Senior, hands-on IC
