Responsibilities
- Working with a diverse group of engineers across Speechmatics.
- Scaling self-supervised learning models across hundreds of GPUs in the cloud.
- Experimenting with distillation or quantisation to speed up our models at runtime.
- Comparing compute efficiencies of architectures such as a transformer and the impact on WER.
- Developing new, state-of-the-art AI features, from training models, all the way to shipping it to production.
- Advancing end-to-end speech models and researching new approaches to TTS.
Team
Structure: Diverse group of engineers across Speechmatics