Machine Learning Engineer - LLMs Knowledge Graphs

📋 Description

• Design knowledge graphs using Neo4j or RDF models.
• Transform data into graph structures; query with Cypher or SPARQL.
• Integrate graphs with LLMs using Retrieval-Augmented Generation (RAG).
• Build APIs (FastAPI) for relationship strength and network traversal.

🎯 Requirements

• 5+ years of ML in production.
• BS/MS in CS/Engineering/Math.
• Knowledge graph tech: Neo4j or RDF frameworks.
• Cypher and/or SPARQL querying.
• Experience with AWS Neptune, GraphDB, or Memgraph.
• Python development for enterprise apps.

🎁 Benefits

• Equity participation.
• Annual company retreat.
• Education bonus for continuous learning.
• Winter break.
• Paid time off.
• Optional in-person events.