Data Knowledge System Research Scientist Graduate (Data Platform-Global Live) - 2027 Start (PhD)
Core
Researching and designing a unified knowledge layer to enable Large Language Models (LLMs) to understand, access, and operate on enterprise data (warehouses, documents, logs, streams) via RAG, knowledge graphs, and agent-based systems.
Role type
Research Scientist (LLM Knowledge Systems)
Builds
Next-generation enterprise knowledge systems and data+AI platforms
Domain
Artificial Intelligence / Data Infrastructure / Knowledge Modeling
Deliverable
production ML models
Required skills
Python, Java, Scala, distributed systems, data modeling, RAG, knowledge graphs, ontology modeling, LLM grounding, agent-based reasoning
Preferred skills
vector databases, real-time data processing (Flink, Kafka), workflow orchestration, data platform architecture
Technologies
Python, Java, Scala, Flink, Kafka, RAG, Knowledge Graphs
Responsibilities
Design unified knowledge representations for enterprise data; Build RAG-based knowledge systems with high accuracy and low latency; Develop ontology/semantic layers to bridge data and LLM understanding; Design knowledge ingestion and update mechanisms (batch + real-time); Improve LLM grounding, traceability, and reliability; Explore agent-based reasoning and execution frameworks; Prototype and validate new ideas for production systems
