Graph Machine Learning Research Intern

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.

Requirements

• Lead and contribute to cutting-edge research in graph computing and graph machine learning (GML)
• Design, develop, and evaluate algorithms for graph representation learning, reasoning, and analytics on dynamic, heterogeneous, and large-scale graphs
• Apply GML to high-impact domains such as cybersecurity, finance, social science, material science, and intelligent systems
• Integrate GML with foundation models (e.g., large language models/LLMs, multimodal models) for tasks like knowledge graph reasoning, graph-augmented retrieval, and trustworthy decision support
• Translate research insights into deployable prototypes and production-level software
• Author technical publications, invention disclosures, and research presentations for internal and external stakeholders, and support proposal and business development activities

Benefits

• medical
• dental
• vision
• life insurance
• 401K match
• gym facilities
• PTO
• Sick time
• upward mobility