AI Audio Scientist

Responsibilities

• As a Senior Machine Learning Engineer, you will be responsible for designing, adapting, and optimizing advanced model architectures for generative audio/music applications

• You will collaborate with other Applied Researchers and Machine Learning Engineers to design, train, fine-tune, and deploy scalable models to production

• Additionally, you will explore and implement core building blocks in generative models, such as general Variational Autoencoders (VAEs), Neural Audio Codecs (RVQ / VAE), GANs, Diffusion Models, and Transformer-based architectures

Full Description

Job Overview

The Splice AI & Audio Science team is dedicated to pushing the boundaries of artificial intelligence applied to audio data.

As a Senior Machine Learning Engineer, you will be responsible for designing, adapting, and optimizing advanced model architectures for generative audio/music applications.

You will collaborate with other Applied Researchers and Machine Learning Engineers to design, train, fine-tune, and deploy scalable models to production. Additionally, you will explore and implement core building blocks in generative models, such as general Variational Autoencoders (VAEs), Neural Audio Codecs (RVQ / VAE), GANs, Diffusion Models, and Transformer-based architectures.