Agentic AI & Graph Machine Learning Research Engineer

What this role involves

This role involves leading research in agentic AI, graph machine learning, and knowledge-enhanced AI systems. The position requires an M.S. plus 3+ years of experience, with expertise in LLM-powered agents, graph neural networks, and modern AI frameworks. The work is applied to mission-critical domains in national security and commercial applications.

Skills this posting asks for

• machine learning
• deep learning
• natural language processing
• generative ai
• multimodal foundation models
• prompt engineering
• supervised fine tuning
• parameter efficient fine tuning
• preference optimization
• model alignment
• inference optimization
• langgraph
• autogen
• model context protocol
• agent2agent
• graph mining
• graph matching
• geometric deep learning
• graph machine learning
• knowledge graphs
• ontologies
• graph schemas
• graph databases
• neo4j

Requirements

• 3 years of experience
• Level: senior

From the employer’s posting

HRL Laboratories pioneers the next frontiers of physical and information science. Delivering transformative technologies in automotive, aerospace and defense, HRL advances the critical missions of its customers to help them remove limitations and create competitive advantage. HRL then transitions t…