Enterprise Deepfake Detection
About The Role
Reality Defender seeks an Applied Scientist, Audio to work on product-oriented cutting-edge deep learning approaches for audio processing and detection tasks.
Work on audio speech detection and classification problems.
Independently implement and evaluate ideas on modern deep learning stack - Python, PyTorch, and GPU-enabled cloud compute, like AWS.
Collaborate with scientists and engineers across the organization.
PhD or equivalent experience in computer science, signal processing, or a related field.
In-depth understanding of deep learning research in audio synthesis, deep learning, and signal processing using neural networks CNNs, RNNs, Autoencoders, etc., and generative deep learning methods.
You have implemented and/or published papers at top research venues InterSpeech, ICASSP, etc.
Excellent software engineering skills.
Team player with a positive attitude and good communication skills.
Reality Defender is a rapidly growing technology startup building the future of deepfake detection technology.
You will help create an AI-first state-of-the-art scalable platform that supports multiple AI models processing thousands of user uploaded videos, images and audio files per day in real time.