Inactive
S

Socure

Digital identity verification and fraud prevention

Engineering Intern - AI Agents - Data & Riskos

Applied Machine Learning +1Posted on Apr 15
Internship · Summer 2026Remote in USA$30 - $50 /hrRemote

About the Job

Requirements

  • Currently enrolled in a Master's degree program in Computer Science, Computer Engineering, or a related technical field.
  • Internship is intended for active students whose studies align with the work.
  • Strong understanding of data structures, algorithms, complexity, and basic system design.
  • Basic understanding of backend services, APIs, databases, queues, and how web applications work end to end.
  • Basic understanding of frontend fundamentals and at least one modern framework such as React, Angular, or Vue.
  • Basic understanding of servers, cloud environments, containers, and monitoring and logging concepts.
  • Basic proficiency in at least one backend programming language such as Go, Java, or Python.
  • Familiarity with Git and common software development workflows.

Responsibilities

  • Design, build, test, and ship product features across backend and frontend with senior engineers.
  • Write clean, readable, and well-tested code that follows team standards and code review practices.
  • Build and extend AI agents that power RiskOS.
  • Contribute to data reporting and analytics infrastructure by building parameterized report templates, extending the real-time analytics pipeline, and improving embedded dashboards.
  • Support backend development including APIs, data processing, and internal tools in Go.
  • Learn how software runs in production, including containers, CI/CD, cloud environments, monitoring, and logging.
  • Take part in agile team activities such as standups, sprint planning, and retrospectives.
  • Document designs, technical decisions, and usage notes so other engineers can build on your work.
  • Own a clearly scoped internship project from design to handoff by the end of the program.

Desired Qualifications

  • Prior software development experience through a full-time role, internship, or similar hands-on work.
  • coursework or project experience in AI/ML systems, LLM applications, data engineering, or distributed systems.

About the Company

Socure

Digital identity verification and fraud prevention

Socure provides digital identity verification and fraud prevention services for financial institutions through a subscription-based platform. It uses machine learning and advanced algorithms to analyze small amounts of customer data to predict fraud risk. A flagship feature, the Sigma Fraud Score, compares transactions against a proprietary database of known fraudulent users and traits to detect suspicious activity. Additional tools like Device Risk verify session authenticity by gathering device and browser signals, supporting seamless and secure customer experiences. Socure differentiates itself with a robust, data-driven fraud scoring system, a suite of identity verification and compliance tools, and continuous platform updates delivered as a service. Its goal is to help banks and other lenders verify customers quickly and accurately while reducing fraud and ensuring regulatory compliance (e.g., Customer Identification Programs under the Patriot Act).

Company size
501-1,000
Company stage
Series F
Total funding
$900.1M
Headquarters
Incline Village-Crystal Bay, Nevada
Founded
2012

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