Quality Assurance Engineer

NYC HQ or Remote (U.S.) | Full-time | Engineering | Reports to: Quality Assurance Lead

Who we are.

Reality Defender is an award-winning cybersecurity company helping enterprises and governments detect deepfakes and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust against the bleeding edge of generative platforms producing video, audio, imagery, and text media. Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time.

Backed by world class investors including DCVC, Illuminate Financial, Y Combinator, Booz Allen Hamilton, IBM, Accenture, Rackhouse, and Argon VC, Reality Defender works with leading enterprise clients, financial institutions, and governments in order to ensure AI-generated media is not used for malicious purposes.

Youtube: Reality Defender Wins RSA Most Innovative Startup

The Quality Assurance Engineer Role.

Our customers rely on Reality Defender to make high-stakes calls in real time — whether the voice on a bank's phone line or the face in a job interview is real. As a Quality Assurance Engineer, you'll make sure what we ship holds up to that standard, testing our APIs, SDKs, web app, and real-time integrations, and building the automation that lets us release faster without breaking things. This is a full-time role based at our NYC headquarters or remote within the U.S., reporting to Quality Assurance Lead. Responsibilities include:

• Own test planning and execution for assigned product areas — APIs, SDKs, the web app, and real-time voice and video integrations — from requirements review through release sign-off.
• Build and maintain automated test suites (API, end-to-end, and regression) and integrate them into our CI/CD pipelines.
• Find, document, and track defects with clear reproduction steps, severity, and impact, and work with engineers through to resolution.
• Test the reliability and performance of real-time detection under realistic conditions — 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 the AI Research and 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.

Who you are.