Machine Learning Engineer - Audio Source Separation

The Machine Learning Engineer position is with an early-stage company that has developed audio source separation software to create enhanced quality audio data sets. Their customers will use these studio quality audio data sets to training conversational AI and other speech focused models. This role will focus on developing models to clean audio data.

Experience required:

Experience building ML models for source separation, speech enhancement, denoising, sound extraction etc.

Productizing research papers into working code

Python, C++, PyTorch, TensorFlow

Startup background

This is an excellent opportunity to significantly impact an early-stage company and have an equity stake in the business.

Send your resume today for consideration.