Research Engineer - Audio & Speech Models

As a Research Engineer - Audio & Speech Models, you will be a core contributor on Zyphra’s Audio Team, building the next generation of open-source autoencoders, ASR, TTS, SSL, and speech-to-speech models. You will be deeply involved in the entire model training process, from data gathering and processing to designing novel architectures and training methodologies.

• Large-scale audio training runs

• Performance optimization of our training stack

• Audio dataset collection, processing, and evaluation

• Architecture and training methodology ablations and improvements

• Strong research taste and intuition. The ability to work through a research project from conception to execution to write-up.

• Strong implementation and prototyping ability (can take an idea from conception to experimentation quickly)

• The ability to work well with others in a high-paced research setting

• Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale

• Expertise and intuition for training models in the audio domain, including text-to-speech, ASR, speech-to-speech, speech-emotion-recognition, or other models

• Experience in training audio autoencoders

• Understanding of signal processing, especially of audio signals

• Experience with diffusion models, consistency models, or GANs

• Experience with training on large-scale (multi-node) GPU clusters

• Strong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing

• Understanding of and interest in large-scale, highly parallel data processing pipelines

• Proficiency with PyTorch and Python

• Experience contributing to large pre-existing codebases and rapidly getting up to speed

• Previously published machine learning research in well-respected venues

• Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Mathematics, Physics, Machine Learning)