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Agentic AI & Graph Machine Learning Research Engineer
HRL LaboratoriesQuantum Computing, company
Calabasas, United States$128,000 - $159,950Senior
General Motors
Boeing
United States Department of War
U.S. Office of Energy Efficiency and Renewable Energy
U.S. Department of Energy
DARPA
Data & AI
About the role
TL;DR
Research Engineer in Agentic AI and Graph Machine Learning.
- •HRL Laboratories is seeking a Research Engineer to lead and conduct research in agentic AI, intelligent decision support, and LLM-powered agent architectures.
- •This role involves designing and evaluating multi-agent systems and building knowledge-enhanced AI systems.
- •Key Responsibilities Lead research in agentic AI, intelligent decision support, and LLM-powered agent architectures.
- •Design, develop, and evaluate multi-agent systems for distributed decision-making.
- •Build knowledge-enhanced AI systems integrating knowledge graphs and multimodal retrieval.
- •Develop and apply graph machine learning techniques for pattern discovery and predictive analytics.
- •Develop trustworthy AI systems, including Explainable AI (XAI) and verification & validation.
- •Requirements M.S. in Computer Science, Machine Learning, AI, Applied Mathematics, or related field with 3+ years of AI/ML experience.
- •Strong background in machine learning, deep learning, NLP, generative AI, and foundation models.
- •Experience with LLM-powered and agentic AI systems using modern agent frameworks.
- •Hands-on experience with graph mining, graph matching, and applied GML workflows.
- •Proficiency in Python, PyTorch, and modern software engineering practices.
Required skills
PythonPyTorchLLMsNLPNeo4jGitLinux
Nice-to-have skills
LangChainHugging FaceSparkOpenAI APIAnthropic APIGemini API
Domain expertise
defenseaerospaceai
Benefits & perks
medical, dental, vision, life insurance, 401K match, gym facilities, PTO, Sick time
Tech stack
PythonPyTorchGitLinuxJiraConfluenceOpenAI APILangChainHugging FaceNLPLLMsNeo4jSpark
