You and Your RoleBuild the deep memory of the system. Analyze history, reputation, and patterns to catch sophisticated fraud that real-time checks miss.
What You'll Do:- 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.
What You'll Bring:- 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 VerisoulIn office 5 days a week in Austin, Texas!
Benefits- Free Lunch - personalized your way
- $10K Relocation Bonus
- 100% Insurance Coverage
- 4% 401K Match
- Unlimited Vacation
- Up to 20 days Remote Annually
- Beautiful Office
