Intelligence Engineer - Offline

Verisoul•Austin, TX

8d•Onsite

About The Position

Verisoul stops fake accounts and fraud in the era of AI. We distinguish real humans from bots and bad actors for high-growth companies like Clay, Augment Code, and Morning Consult. Our Trajectory (Last 12 Months): 6x YoY Growth: 6x ARR growth (to $2M) and scaled to 100+ customers. Product Dominance: 80% competitive win rate; we catch 70-105% more fraud than legacy tools. Strong Backing: Raised $8.8M Series A. Build the deep memory of the system. Analyze history, reputation, and patterns to catch sophisticated fraud that real-time checks miss.

Requirements

4+ years as a full-stack engineer
Experience with batch processing, data pipelines, and warehousing.
Understanding of how to link data points (email, IP, device) into a cohesive identity.
You understand probability, entropy, or graph theory and can apply them to messy real-world data.

Responsibilities

Architect Reputation Systems: Build batch and nearline pipelines to score risk across identity attributes (email, phone, ISP) and lay the foundation for a scalable intelligence knowledge graph.
Deploy Graph Analytics: Use network science—including centrality, community detection, and embeddings—to detect synthetic accounts and visualize complex fraud clusters.
Develop Probabilistic Models: Engineer scoring algorithms that integrate historical reputation data and quantify uncertainty for dynamic entities like residential IPs.
Innovate & Mine Data: Conduct open-ended discovery on terabytes of historical data to invent new features and uncover evolving patterns in fraud network organization.