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Verisoul

Web3 identity verification and privacy credentials

Intelligence Engineer

Data ScienceConfirmed live in the last 24 hours
Full-timeAustin, TX, USA

About the Job

Requirements

  • At least 4 years of experience as a full-stack engineer.
  • Experience with batch processing, data pipelines, and warehousing.
  • Understanding of linking data points such as email, IP, and device into a cohesive identity.
  • Ability to apply probability, entropy, or graph theory to messy real-world data.
  • Work in person in Austin, Texas.

Responsibilities

  • Architect batch and nearline pipelines to score risk across identity attributes such as email, phone, and ISP, and establish a scalable intelligence knowledge graph.
  • Use network science, including centrality, community detection, and embeddings, to detect synthetic accounts and visualize fraud clusters.
  • Develop scoring algorithms that integrate historical reputation data and quantify uncertainty for dynamic entities such as residential IPs.
  • Conduct open-ended discovery on terabytes of historical data to develop new features and uncover evolving fraud network patterns.
  • Work with the engineering team to define risk-scoring logic.
  • Work with the platform team to make intelligence accessible via APIs.

About the Company

Verisoul

Web3 identity verification and privacy credentials

Verisoul provides a digital credential protocol for Web3 to verify real, unique identities and reduce bot and fraud risks in communities. It issues privacy-preserving credentials that users can onboard with once and reuse across any blockchain without sharing personal data. The approach highlights cross-chain portability and privacy, enabling single on-ramps that can be used across multiple Web3 platforms. Its goal is to restore trust in Web3 by ensuring only genuine users participate, improving user experience and overall community security.

Company size
11-50
Company stage
Series A
Total funding
$12.1M
Headquarters
Austin, TX
Founded
2022

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