Machine Learning Engineer

Speechmatics is a cutting-edge applied AI Research company that is breaking down cultural barriers by building diverse and inclusive speech technology. We are looking for an experienced Machine Learning Engineer who can help us advance our automatic speech recognition (ASR) engines for Flow, our new Conversational AI companion and create interactive voice interfaces of the future that ‘Understand Every Voice’.

We are betting big on scaling models, so you will be working with millions of hours of audio and billion parameter models which train across dozens of GPUs. It’s all about finding bottlenecks across our 50+ languages.

Our main research focuses are large-scale self-supervised learning, building state-of-the-art speech pipelines and breaking ground on our own emotive text-to-speech (TTS) models.

What you'll be doing

• 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.

We aim to get you onboarded and started on projects in your first few days. In addition, having a very collaborative culture, you will often be pair programming with a colleague on streamlining our production ML pipelines, reviewing other folks’ code and suggesting new ways to tackle a tough real time factor (RTF) optimisation problem, as well as brainstorming novel approaches for analysing model predictions with the team.

You’ll want to join our team if you

• Ambitious Engineers keen to work on bleeding-edge speech recognition and representational learning.
• Experience owning areas of code, seeking alignment rather than guidance.
• Proven-track record of delivering results, moving fast and keeping things simple.
• Someone who loves working in collaborative and diverse teams.
• Has a growth mindset and loves to develop oneself and others.
• Enjoys solving challenging problems and optimising a stack of unfamiliar code.