Intelligence Engineer - Offline
External
Verisoul · AustinPrepare for this interview
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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.
Requirements
- Experience: 4+ years as a full-stack engineer
- Big Data Engineering: Experience with batch processing, data pipelines, and warehousing.
- Entity Resolution: Understanding of how to link data points (email, IP, device) into a cohesive identity.
- Mathematical Intuition: You understand probability, entropy, or graph theory and can apply them to messy real-world data.
- Location: In-person in Austin, TX.
- Who You'll Work With:
- Engineering Team: To define the logic behind risk scores.
- Platform Team: To make intelligence accessible via APIs.
- Compensation: $200,000 - $250,000 + Equity Grant
- Base Salary: $190,000 - $240,000 fixed annual salary (All Base)
- 401k match: 4% match of compensation (~$8,000)
- Equity Grant: 0.2% - 0.4% with 4-year vesting
- Life At Verisoul
- In office 5 days a week in Austin, Texas!
Benefits
Additional Information
About Verisoul 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 You and Your Role Build the deep memory of the system. Analyze history, reputation, and patterns to catch sophisticated fraud that real-time checks miss.
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Company Intel
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