Machine Learning Engineer
Posted a month ago
- London, Greater London
- Any
- External
- Expires In 2 months
About You
You are an experienced Machine Learning Engineer who can help us advance our automatic speech recognition (ASR) and is excited to build the voice interfaces of the future. 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 the bottlenecks across our 30+ languages and targeting our efforts to understand every voice. Our main research focus is large-scale Self-supervised Learning and a practical focus on building state-of-the-art speech pipelines.
An average day might include working on
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 a new product, such as Language ID, from training the model all the way to shipping it to production
Advancing end-to-end speech models in PyTorch such as the RNN Transducer
Giving a journal club on a recent paper such as DALLE-2
We aim to get you onboarded and started on something like this 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
Want to learn more about speech recognition and representational learning
Are results driven, like moving fast and keeping things simple
Love working in collaborative and ambitious teams
Have a growth mindset and love to develop yourself and others
Enjoy solving challenging problems and digging into a stack of unfamiliar code
Love optimising code
You may have experience in some of the following
A GitHub portfolio demonstrating personal ML projects
Large scale distributed model training
Deep learning and Pytorch
Language modelling and acoustic modelling
Comfortable on the command line and shell scripting
ETL pipelines in Python (we like Prefect and Airflow)
Speaking multiple languages or a background in linguistics
About Us
Speechmatics has collaborative office spaces in the UK, with teams also located in the Czech Republic, India and the US. Our speech-to-text software is the world’s most accurate, regularly winning customers from Google, Amazon and Microsoft (learn more in our whitepapers here). We believe we are the UK’s most exciting ML start-up and have grand ambitions for the future of speech tech. Come and join our mission to build perfect speech recognition to understand every voice!
#J-18808-Ljbffr
You are an experienced Machine Learning Engineer who can help us advance our automatic speech recognition (ASR) and is excited to build the voice interfaces of the future. 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 the bottlenecks across our 30+ languages and targeting our efforts to understand every voice. Our main research focus is large-scale Self-supervised Learning and a practical focus on building state-of-the-art speech pipelines.
An average day might include working on
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 a new product, such as Language ID, from training the model all the way to shipping it to production
Advancing end-to-end speech models in PyTorch such as the RNN Transducer
Giving a journal club on a recent paper such as DALLE-2
We aim to get you onboarded and started on something like this 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
Want to learn more about speech recognition and representational learning
Are results driven, like moving fast and keeping things simple
Love working in collaborative and ambitious teams
Have a growth mindset and love to develop yourself and others
Enjoy solving challenging problems and digging into a stack of unfamiliar code
Love optimising code
You may have experience in some of the following
A GitHub portfolio demonstrating personal ML projects
Large scale distributed model training
Deep learning and Pytorch
Language modelling and acoustic modelling
Comfortable on the command line and shell scripting
ETL pipelines in Python (we like Prefect and Airflow)
Speaking multiple languages or a background in linguistics
About Us
Speechmatics has collaborative office spaces in the UK, with teams also located in the Czech Republic, India and the US. Our speech-to-text software is the world’s most accurate, regularly winning customers from Google, Amazon and Microsoft (learn more in our whitepapers here). We believe we are the UK’s most exciting ML start-up and have grand ambitions for the future of speech tech. Come and join our mission to build perfect speech recognition to understand every voice!
#J-18808-Ljbffr
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