At a Glance
- Tasks: Develop cutting-edge speech recognition models and create interactive voice interfaces.
- Company: Join Speechmatics, a leader in AI-driven speech technology.
- Benefits: Flexible working, private medical, generous holiday allowance, and career development support.
- Other info: Diverse team culture with opportunities for growth and learning.
- Why this job: Work on innovative projects that impact global communication and technology.
- Qualifications: Experience in machine learning and a passion for collaborative problem-solving.
The predicted salary is between 36000 - 60000 £ per year.
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:
- Are ambitious engineers keen to work on bleeding-edge speech recognition and representational learning.
- Have experience owning areas of code and seeking alignment rather than waiting for guidance.
- Have a proven track record of delivering results, moving fast and keeping things simple.
- Enjoy working in collaborative and diverse teams.
- Have a growth mindset and love to develop oneself and others.
- Enjoy 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
Machine Learning Engineer in London employer: Speechmatics
At Speechmatics, we pride ourselves on being a leading expert in Speech Intelligence, where innovation meets inclusivity. Our collaborative work culture fosters growth and development, offering employees the chance to work on cutting-edge AI projects while enjoying flexible working arrangements and comprehensive benefits, including private medical care and generous holiday allowances. Join us in our mission to 'Understand Every Voice' and be part of a diverse team that values every contribution.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Speechmatics on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects related to machine learning and speech recognition. This is your chance to demonstrate what you can bring to the table.
✨Tip Number 3
Practice makes perfect! Brush up on your technical interview skills by doing mock interviews with friends or using online platforms. Be ready to discuss your past projects and how they relate to the role.
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t tick every box, we value ambition and potential. Your unique experiences could be just what we’re looking for!
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Machine Learning Engineer role. Highlight any relevant projects or technologies you've worked with, especially in speech recognition or AI.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about speech technology and how your background makes you a great fit for our team. Be genuine and let your personality shine through!
Showcase Your Projects:If you've worked on any interesting machine learning projects, especially those related to speech or audio processing, make sure to mention them. We love seeing practical applications of your skills!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at Speechmatics
✨Know Your Stuff
Make sure you brush up on the latest trends in machine learning and speech recognition. Familiarise yourself with self-supervised learning, TTS models, and the architectures mentioned in the job description. Being able to discuss these topics confidently will show that you're genuinely interested and knowledgeable.
✨Showcase Your Projects
Prepare to talk about your previous projects, especially those involving large-scale models or cloud computing. Highlight any experience you have with distillation or quantisation techniques. This will demonstrate your hands-on experience and ability to deliver results, which is key for this role.
✨Emphasise Collaboration
Since the role involves working with a diverse group of engineers, be ready to discuss how you've successfully collaborated in past teams. Share examples of how you’ve aligned with others to achieve common goals, as this aligns perfectly with their team culture.
✨Ask Thoughtful Questions
Prepare some insightful questions about the company’s projects or future directions in AI and speech technology. This not only shows your enthusiasm but also your growth mindset. It’s a great way to engage with the interviewers and leave a lasting impression.
