Applications for this job are now closed
Speechmatics has a long history of training and developing smart graduates into world-class ML engineers. Time and time again, we have worked with aspiring scientists to rapidly accelerate their careers. We offer a clear path to a career as an ML research scientist without necessarily needing to complete a PhD.
We believe we are the UK’s most exciting ML start-up, having recently secured $62 million in series-B funding. At Speechmatics, we train billion parameter neural networks to help us understand audio, language and how humans communicate. Whilst doing so, we regularly win customers from Google, Amazon and Microsoft by selling the world's most accurate speech-recognition. Our mission is to understand every voice, regardless of language, accent or background; actively researching ways to mitigate bias.
At Speechmatics, we can offer you experience at writing production ML pipelines and training neural networks in Pytorch, all whilst adding to your CV academically (we have published at NeurIPS in the past). Our main research focus is large-scale self-supervised learning, but we are interested in all areas of ML; from Bayesian inference to reinforcement learning.
Some of the projects you may be involved in
- 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
- 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
- Giving a journal club on a recent paper, or writing a blog post
- Forging links with research organisations investigating bias in AI
You'll want to join our team if you
- Want to learn more about speech recognition and representational learning
- Love working in collaborative and ambitious teams
- You like to move fast and keep things simple
- Have a growth mindset and love to develop yourself and others
- Enjoy solving challenging problems and digging into a stack of unfamiliar code
You will have some of the following experience
- Studying for a STEM degree and on course for a 1st Class Honours
- Proficiency in Python (experience in PyTorch or Tensorflow is beneficial)
- A portfolio of 1 or 2 personal ML projects you have undertaken outside your course
- Speaking multiple languages or have a background in linguistics
We are committed to diversity in our hiring process and flexible working conditions.
What we can offer you
Speechmatics is a collective team of ambitious, problem solvers and thought-leaders paving the way for inclusion in speech recognition technology.
No matter what stage of your career you're at - from paid internships and first-job opportunities through to management and senior positions - we'll support you with the training and development needed to reach your career aspirations with us. There really is no shortage of opportunities here for you to get involved and collaborate with those around you to deliver your best work.
When you become part of the Speechmatics Team we work hard to make sure you do your best work with us, while also having a good time doing it. With our Focus Fridays you get an undisturbed day of focus, offset with Together Tuesdays when we have our team meetings.
We offer incredibly flexible working, regular company lunches, and birthday celebration. But that's not all. We've spoken to our teams to find out what they want. From Private Medical and Dental for you and your family, through to global working opportunities, a generous holiday allowance and pension/401K matching, we want to make sure our employees and their families are looked after. Every employee will receive a working from home allowance for tech or home office equipment (on top of your choice of laptop/ Mac, screen and accessories of course)!
We support people to work wherever they work best. But we also understand the importance of coming together to collaborate, socialise and build relationships. Individuals and teams are free to decide what works for them.
