Overview
We are seeking an experienced Machine Learning Engineer to help advance our automatic speech recognition (ASR) engines for Flow, our Conversational AI companion, and to create interactive voice interfaces that Understand Every Voice. Speechmatics is a cutting-edge applied AI research company focused on diverse and inclusive speech technology. You will work with millions of hours of audio and billion-parameter models across dozens of GPUs to scale models across 50+ languages. Our main research focuses are large-scale self-supervised learning, building state-of-the-art speech pipelines, and developing 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 transformers and their impact on WER.
- Developing new, state-of-the-art AI features, from training models through to production.
- Advancing end-to-end speech models and researching new approaches to TTS.
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 and seeking alignment rather than waiting for guidance.
- Proven track record of delivering results, moving fast and keeping things simple.
- Enjoys 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.
We encourage you to apply even if you do not feel you match all of the requirements exactly. The list of requirements is intended to show the kinds of experience and qualities we’re looking for, but it is not exhaustive. If you are interested in the role, the team, and our mission, we would love to consider your application. We are always open to conversations and look forward to hearing from you.
Who We Are
Speechmatics is a leading expert in Speech Intelligence, using AI and Machine Learning to unlock business value in human speech worldwide. We work with a mix of global companies, and our technology can integrate into customers' stacks irrespective of industry or use case—making Speechmatics the go-to solution to harness useful information from speech.
Joining us means working with some of the brightest minds around the world, focused on cutting-edge projects and deploying the latest techniques to disrupt the market. We place people first and invest in your skills development. We offer a hybrid approach with 2-3 designated office days each week to balance remote work with in-person collaboration.
This is the beginning of a journey, and we’re looking for amazing people like you to join us.
What We Can Offer You
No matter what stage of your career you’re at—from internships to management and senior positions—we’ll support your training and development to reach your career goals with us. We offer flexible working, regular company lunches, and celebrations. Benefits include private medical and dental for you and your family, global opportunities, a generous holiday allowance, and pension/401K matching. Employees also receive a working-from-home allowance for tech or home-office equipment, in addition to a laptop of your choice. Parental leave is supported globally, with provisions for adoption and reproductive health services as applicable by location.
Legal and Diversity
At Speechmatics, our mission is simple: Understand Every Voice. We celebrate diverse experiences, viewpoints, and identities. We strive to create an inclusive environment where every voice is heard and valued. We welcome you to come as you are and join our Speechmatics community. For more information, please visit our website and follow Speechmatics on Twitter, Facebook, LinkedIn, and YouTube.
We rely on legitimate interest as a legal basis for processing personal information under the GDPR for recruitment and applications for employment.
Job Details
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Engineering and Information Technology
- Industries: Software Development
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