Applied Scientist (Audio) - Remote

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.

Responsibilities

• 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.

About You

• 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.