Machine Learning Engineer, Speechmatics

Salary not provided
Junior, Mid and Senior level
London

2-3 days a week in office

Speechmatics

Paving the way with Speech AI

Open for applications

Speechmatics

Paving the way with Speech AI

101-200 employees

B2BArtificial IntelligenceLanguagesMachine LearningSaaS

Open for applications

Salary not provided
Junior, Mid and Senior level
London

2-3 days a week in office

101-200 employees

B2BArtificial IntelligenceLanguagesMachine LearningSaaS

Company mission

To combine the latest breakthroughs in AI to understand every voice, language, accent, demographic or dialect.

Role

Who you are

  • 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
  • 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
  • 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

What the job involves

  • 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
  • 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

Salary benchmarks

Our take

Speechmatics is unlocking the business value of human speech. Developed by researchers at the University of Cambridge, Speechmatics is a provider of speech recognition technology that easily transforms structured and unstructured voice data into text.

Speechmatics doesn't simply transcribe, its API can also summarise, detect topics, gauge sentiments, and translate in real-time or from recorded media. Ultimately the company aims to create a seamless and inclusive relationship between human/computer interactions and crucially, it can adapt to numerous industries and use cases so as to understand every voice, language, accent, demographic or dialect. This enables businesses to grasp the essence of human speech, transcending biases commonly built into LLMs.

Speechmatics' software currently operates in over 48 languages and it counts Veritone, Deloitte, Vonage, 3PlayMedia, and Vail among its customers. Recognised as a Top 10 Trailblazer in AI by Fast Company, Speechmatics moved to focus on intelligence in 2023, capitalising on accuracy but also using the power of LLMs to provide overall business value.

Kirsty headshot

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

Few candidates hear
back within 2 weeks

38% female employees

-16% employee growth in 12 months

Company

Employee endorsements

Challenging work

"No day - or hour - is the same! We work hard and fast, continually pushing the boundaries of what is possible for a relatively small team. The..."

Funding (last 2 of 5 rounds)

Jun 2022

$62m

SERIES B

Oct 2019

$8.2m

EARLY VC

Total funding: $81.7m

Company benefits

  • Incredibly Flexible Working 🀸
  • With our 'Focus Fridays' you get an undisturbed day of focus πŸ§˜β€β™€οΈ, offset with Together Tuesdays when we have our team meetings πŸ‘«
  • Company Lunches, with fully stocked snacks and drinks πŸ₯—
  • Private Medical and Dental for you and your family πŸ₯
  • Global Working Opportunities 🌎
  • Generous Holiday Allowance β˜€οΈ
  • Pension/401K matching πŸͺΊ
  • Home allowance for tech/home office equipment (on top of your choice of laptop, screen and accessories- of course) πŸ§‘β€πŸ’»
  • EV Scheme πŸš—
  • Work from Abroad Scheme 🏝️
  • Learning & Development budget πŸ“š
  • Enhanced Parental Leave 🫢
  • Free On-Site Massages πŸ’†β€β™€οΈ
  • Independent Financial Advice πŸ’·
  • Friday Lunch Yoga 🧘
  • Wellbeing Support 🀲
  • Charity Day πŸŽ—οΈ
  • Cycle to Work Scheme 🚲
  • Life Insurance πŸ›Ÿ
  • Referral Bonus πŸ§‘β€πŸ’»
  • Patent Bonus πŸ’‘
  • Income Protection πŸ”’

Company values

  • Move Fast - We believe in finding the perfect balance between the complex and the simple. When you become part of a collaborative team like ours, you have the freedom to fail fast and move on.
  • People First - We believe in putting people first. We don’t just want the best teams; we want the best values fit. When you’re part of our team, we’ll do all we can to help you develop your skills.
  • Care Deeply - Our aim is to β€˜Understand Every Voice’. This thinking doesn’t just extend to our technology. We care deeply about our customers, especially when it comes to the impact our actions have on the world.
  • Be Ambitious - To make positive change within our industry, takes bold and forward-thinking action. Which is why we believe in big goals. Our results show that, while change is never easy, it’s always worthwhile.

Company HQ

Holborn, London, UK

Leadership

Tony Robinson

(Founder)

Tony pioneered recurrent neural networks in speech recognition and has built and scaled multiple speech groups and companies.

Katy is a fantastic CEO and brings with her a wealth of experience in leading finance functions and improving the overall quality of data and decision-making.


People progressing

Seve joined in 2020 as a Head of Partnerships & Alliances, before progressing to Strategic Business Lead, driving growth alongside the CEO and leveraging strong partnerships for success.

Liam Steadman has recently progressed to ML Lead, driving advancements in speech recognition technology to enhance understanding across diverse languages.

Diversity, Equity & Inclusion at Speechmatics

David Field headshot

David Field (Senior Director, People & Talent)

  • At Speechmatics, our mission is simple: understanding every voice out there. That's not just about our tech – it's the heart and soul of who we are. We welcome different experiences, viewpoints, and identities. For us, it’s not just the right thing to do; it’s our catalyst for sparking innovation and creativity. Our teams thrive in an environment that celebrates and supports everyone – no matter their gender, identity or expression, race, disability, age, sexual orientation, religion, belief, marital status, national origin, veteran status, pregnancy, or maternity status. But we don’t just open the door to diversity – we actively welcome it. Why? Because we believe every unique voice adds something special to our team, leading us to smarter solutions and a better workplace. So, come as you are and join our Speechling community. We’re building a place where every voice not only gets heard but is also respected and valued.

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