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Reality Defender

Real-time detection of synthetic media.

Quality Assurance Engineer

Test Automation EngineeringUpdated on Nov 13
Full-time

About the Job

Requirements

  • At least 3 years of experience in software QA or quality engineering, testing web applications and APIs in a fast-moving release environment.
  • Hands-on experience writing automated tests in Python, JavaScript/TypeScript, or a similar language, using frameworks such as Pytest, Playwright, Cypress, or Selenium.
  • Experience testing REST APIs, using tools such as Postman or code-based API tests, and working within CI/CD pipelines such as GitHub Actions.
  • Strong attention to detail and a systematic approach to identifying edge cases.
  • Clear written communication, with bug reports and test plans that engineers can act on.

Responsibilities

  • Own test planning and execution for assigned product areas, including APIs, SDKs, the web app, and real-time voice and video integrations, from requirements review through release sign-off.
  • Build and maintain automated API, end-to-end, and regression test suites and integrate them into CI/CD pipelines.
  • Find, document, and track defects with clear reproduction steps, severity, and impact, and work with engineers through resolution.
  • Test the reliability and performance of real-time detection under realistic conditions, including latency, load, varied audio and video quality, and different platforms and devices.
  • Help maintain the test data and media sets used to validate each release.
  • Partner with AI Research and the Red Team to support model release validation and regression testing.
  • Help Customer Support and Solutions Engineering reproduce and triage customer-reported issues.
  • Contribute to QA standards, documentation, and release checklists across the engineering team.

Desired Qualifications

  • Experience testing audio, video, or real-time communication products such as WebRTC, telephony, or conferencing.
  • Experience testing machine-learning-powered products or working with test datasets.
  • Exposure to performance or load testing tools such as k6, Locust, or JMeter.

About the Company

Reality Defender

Real-time detection of synthetic media.

Reality Defender provides a platform that detects deepfakes and AI-generated media for enterprises, government, and institutions. It offers real-time detection across audio, video, images, and text through a web app and API, enabling integration into workflows such as call centers, secure video meetings, and KYC. The product uses a patented multi-model ensemble to identify AI manipulation without relying on watermarks or prior authentication, delivering risk scores in real time. It differentiates itself with its multi-format, real-time detection approach and proven enterprise deployments, including clients like Visa, Microsoft, NATO, and NBCUniversal, as well as its origins from a nonprofit research project. The company’s goal is to help organizations prevent fraud, disinformation, and security breaches by reliably detecting synthetic media as it appears in live streams and communications.

Company size
51-200
Company stage
Series A
Total funding
$48.1M
Headquarters
New York City, New York
Founded
2018

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