Research Engineer (Audio) (Remote) at The AI Foundation

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About The Role

Reality Defender seeks audio researcher engineers to join the R&D team. You’d work on product-oriented research for synthetic (deepfake) audio detection, and tackle cutting-edge deep learning and audio problems with an emphasis on classification and adversarial methods.

Responsibilities

  • Develop and train deep learning models for classification problems.
  • Propose and publish novel solutions to improve synthetic audio detection.
  • Collaborate with fellow scientist and engineers across the organization.

About You

  • Experience (academic or industry) with Audio Synthesis, Deep Learning, and Signal Processing for (1) Neural networks CNNs, RNNs, Autoencoders, etc., and transfer learning, (2) Generative deep learning method, esp. for audio synthesis, (3) Audio classification, and signal processing techniques.
  • You can independently implement and evaluate ideas on modern deep learning stack - Python, PyTorch, and GPU-enabled cloud compute (like AWS).
  • You have implemented or published research papers from/at top academic conferences, such as InterSpeech, ICASSP, etc. on a modern deep learning stack for voice synthesis applications.
  • Team player with a positive attitude, sincerity, and good communication skills.
  • Nice to have: You ideally hold an MS, or PhD degree in Computer Science, Data Science, or equivalent experience.

About Reality Defender
Reality Defender is a for-profit company that works on applied research and products, centered around detection of synthetic media.

More Information on The AI Foundation
The AI Foundation operates in the Artificial Intelligence industry. The company is located in San Francisco, CA and Las Vegas, NV. The AI Foundation was founded in 2017. It has 29 total employees. To see all 17 open jobs at The AI Foundation, click here.
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