Applied Scientist Ii (audio)

Reality Defender is seeking an Applied Scientist II (Audio) to build, tune, and deploy state-of-the-art audio deepfake detection models. This role focuses on model tuning and deployment, ensuring robustness and performance in real-world client environments, including adversarial and edge-case scenarios.

Skills and focus areas

• machine learning
• deep learning
• model tuning
• model deployment
• model building
• model training
• benchmarking
• evaluation frameworks
• mitigation strategies
• audio deepfake detection
• adversarial attacks
• edge cases