2x Applied Scientist – (Audio) AND Senior AS (Audio)

New York, New York

  Machine Learning



Our client is a pioneering startup at the forefront of innovation in the security sector and they are hiring two Applied Scientists to join their team in New York. With a seasoned leadership team leading the charge, this organization is leveraging state-of-the-art Artificial Intelligence technology to tackle fraud in text, audio and video content.


  • As the Applied Scientist, you will explore innovative methods for feature extraction and data augmentation in generative audio detection.

  • You will be responsible to build a pre-processing library to enhance the capabilities of their deepfake detection models.

  • Create pioneering solutions that exceed current industry standards and contribute to research publications.

  • Foster close collaboration with scientists and engineers throughout the organization.



  • Master’s degree in Computer Science or similar. 

  • At least two years of Python programming experience and proficiency in building deep learning models using PyTorch.

  • Expertise in deep learning and speech/signal processing. 

  • Knowledge of deep learning research in audio synthesis and classification, encompassing CNNs, RNNs, autoencoders, and large audio foundation models.

  • Familiarity with audio pre-processing methods such as speech enhancement and voice activity detection.

  • Experience in implementing and/or publishing peer-reviewed research papers in reputable AI research/audio/speech conferences like CVPR, ICLR, Interspeech.

  • Exhibit strong teamwork skills, a positive attitude and excellent communication abilities.

Salary: $170k

If this sounds like the role for you, apply now in the link below or email your resume directly to shane@alldus.com for consideration.