Graph ML & Agentic AI Research Engineer

PVH (Tommy Hilfiger/Calvin Klein); Calabasas (CA); On-site; USD 128,000 - 159,950; Full time

Job summary

HRL Laboratories seeks an AI Research Scientist to lead research in agentic AI, autonomous workflows, and LLM-powered agent architectures. You will integrate memory, planning, tool use, and retrieval to enable long-horizon decision-making across mission-critical domains.

You will build knowledge-enhanced AI systems with knowledge graphs, graph retrieval, and multimodal reasoning. Collaboration with diverse teams and publication of results are expected.

Qualifications

• MS in Computer Science, Machine Learning, AI, Applied Math, or related field with 3+ years in AI/ML.
• Strong background in ML, deep learning, NLP, generative AI, and multimodal models.
• Experience adapting foundation models via prompt engineering, fine-tuning, and optimization techniques.
• Experience building LLM-powered agentic AI systems using modern frameworks (LangGraph, AutoGen).
• Familiarity with Model Context Protocol (MCP) and Agent2Agent (A2A) for tool integration.

Responsibilities

• Lead research in agentic AI and autonomous workflows for decision support and long-horizon tasks.
• Design, develop, and evaluate multi-agent systems for distributed decision-making and coordination.
• Develop knowledge graphs, ontologies, and graph-based retrieval to improve reasoning.
• Apply graph ML and geometric deep learning for anomaly detection and analytics.
• Collaborate with teams, publish research, and support proposals and external engagement.

Skills

Agentic AI

Graph ML

Python

PyTorch

NLP

Multimodal AI

LLM architectures

Prompt engineering

Distributed systems

Education

MS in CS/ML/AI

Tools

LangGraph

AutoGen

MCP

A2A

Neo4j

Cypher

Ray

Spark

vLLM

Job description

HRL Laboratories seeks an AI Research Scientist to lead research in agentic AI, autonomous workflows, and LLM-powered agent architectures. You will integrate memory, planning, tool use, and retrieval to enable long-horizon decision-making across mission-critical domains.

You will build knowledge-enhanced AI systems with knowledge graphs, graph retrieval, and multimodal reasoning. Collaboration with diverse teams and publication of results are expected.