Applied Scientist II (Audio)

About Reality Defender

Reality Defender is an award-winning cybersecurity company helping enterprises and governments detect deepfakes and AI-generated media. Using a patented multi-model approach, the company detects generative platforms producing video, audio, imagery, and text media. The API-first deepfake detection platform helps teams identify fraud, disinformation campaigns, and harmful deepfakes in real time.

The Role

We are seeking an Applied Scientist II to build, tune, and deploy state-of-the-art audio deepfake detection models in real-world client environments. You will be responsible for model tuning and deployment, ensuring robustness, reliability, and performance under diverse real-world test conditions including adversarial and edge-case scenarios.

What You'll Do

• Tune and optimize ML/DL models for production-scale audio deepfake detection
• Investigate failure cases in the client environment, build custom evaluation frameworks, and implement mitigation strategies