About the role

What you’ll do

• Support applied research across agentic AI, knowledge representation, dynamic ontologies, autonomous analysis, and high-performance analytics
• Work alongside senior research engineers to reproduce methods
• Build evaluation datasets and tools
• Run experiments
• Analyze errors
• Communicate research findings

What you’ll need

• 0-2 years of professional experience
• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field, or equivalent demonstrated ability
• Solid Python programming fundamentals with code you can walk through and defend
• Working understanding of machine learning and LLM fundamentals including evaluation basics, prompting, embeddings, and retrieval
• Ability to read technical papers and explain claims, evaluation, and limitations; intellectual honesty about results
• Research experience from thesis, lab, internship, or open-source project; hands-on experience with RAG, agent frameworks, or fine-tuning; exposure to graph databases, ontologies, or information extraction; experiment tracking and evaluation tooling; Docker and cloud or GPU compute; interest in OSINT, intelligence, or investigative research workflows

Original job description