AI Disinformation Network Graph Analyst

About the role

Responsibilities

• Design graph neural network models detecting coordinated inauthentic behavior patterns at network level
• Engineer timing coordination, amplification relay, and content reuse features across account networks
• Build attribution pipeline connecting detected networks to known influence operation campaign types
• Implement cross-platform network analysis linking coordinated accounts across social media ecosystems
• Develop adversarial robustness as detected actors adapt coordination techniques
• Produce intelligence reports presenting network analysis findings to government agency clients

Requirements

• 6+ years in ML engineering with graph analytics, social network analysis, or threat intelligence experience
• Deep expertise in graph neural networks and network structure feature engineering
• Strong Python and Spark skills for large-scale social graph data processing
• Understanding of influence operation tactics and coordinated inauthentic behavior detection
• Ability to produce intelligence-grade analytical reports and present to government stakeholders

Benefits

• Hybrid: 2 days DC, 3 days remote
• Top-of-market compensation for specialized threat intelligence ML expertise
• Comprehensive health benefits
• $5,000 annual professional development budget
• Clearance support for classified client programs

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