Engineering Intern-docv & Device

Socure Socure · Vertical AI · United States · Remote · Tech

This internship focuses on leveraging behavioral and device signals for fraud detection and identity verification. The intern will instrument code for data collection, analyze data and engineer features, prototype detection or scoring logic, and document findings. The goal is to improve decisioning accuracy and system robustness within DocV and RiskOS workflows.

What you'd actually do

  1. Instrument code to collect behavioral and device signals. Deliver a clean, structured dataset.
  2. Analyze data and engineer features. Deliver analysis showing signal impact.
  3. Develop detection or scoring logic. Deliver a working proof-of-concept with metrics.
  4. Map integration points and document findings. Deliver technical documentation and presentation.

Skills

Required

  • Pursuing a degree in Computer Science, Engineering, Data Science, or similar
  • Experience in Go, Python, or Java
  • Familiarity with data analysis or ML concepts
  • Understanding of APIs and backend systems
  • Ability to work through ambiguity and iterate quickly
  • Strong communication skills

Nice to have

  • Exposure to fraud, identity, or security domains
  • Experience with behavioral or event-based data
  • Familiarity with SQL, Spark, or large-scale data tools
  • Experience with dashboards or data visualization

What the JD emphasized

  • evaluate, prototype, and demonstrate
  • build, analyze, and deliver
  • working proof-of-concept

Other signals

  • prototype
  • detection logic
  • scoring logic
  • fraud detection