At a Glance
- Tasks: Join our team to innovate in speech technology and work on exciting Machine Learning projects.
- Company: Speechmatics is a leader in Speech Intelligence, transforming human speech into business value globally.
- Benefits: Enjoy flexible working, regular company lunches, and a generous holiday allowance.
- Why this job: Be part of a mission-driven team that values diversity and innovation in Voice AI.
- Qualifications: Experience in Machine Learning with a focus on modern techniques and collaborative R&D.
- Other info: We support your growth with training and development opportunities at every career stage.
The predicted salary is between 48000 - 84000 £ per year.
We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As pioneers in speech technology, our mission is to Understand Every Voice—a vision that has propelled us to be at the bleeding edge of Voice AI, consisting of STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we’re looking for an experienced Machine Learning Engineer to accelerate our efforts towards exceptional Voice AI.
Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving.
What you’ll be doing:
- Work with a diverse group of engineers across Speechmatics to achieve ambitious goals.
- Stay current with the latest developments in Machine learning.
- Execute high-impact projects to ensure team success.
- Work collaboratively across departments and mentor team members (where appropriate).
Who we are looking for:
- Demonstrated experience in collaboratively pursuing ambitious R&D agendas.
- Precise attention to detail, but is also aware of how the big picture relates to company goals, and where the field of Machine Learning is headed towards.
- Understanding of the modern Machine Learning stack, for example:
- Knowledge of contemporary transformer architectures (e.g., GQA, KV-caching) and best practices.
- Experience in distributed training techniques.
- Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding).
- Publications in top-tier conferences.
- Contributions to popular open-source repositories.
- Technical writing skills as evidenced by relevant publications or blogs.
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 the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers' stack irrespective of their industry or use case – making it the go-to solution to harness useful information from speech.
Joining us means working with some of the smartest minds around the world, focused on cutting-edge projects and deploying the latest techniques to disrupt the market. We believe in putting people first; we’ll do all we can to help you develop your skills and give you the tools you need to thrive.
Our Focus Fridays give you an undisturbed day of focus, offset with Together Tuesdays when we have our team meetings, so you’ve always got the right balance. We have structured a hybrid approach that includes 2-3 designated office days each week. This arrangement ensures that while we embrace the advantages of remote work, we also maintain the vital connection and synergy that only in-person interactions can foster.
This is only the beginning; we’re looking for amazing people like you to continue our journey…
What we can offer you:
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.
We offer incredibly flexible working, regular company lunches, and birthday celebrations. 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 and accessories of course). Our approach to parental leave is designed to support employees globally. While this varies by geo, we have support in place for parents (including adoption assistance and reproductive health services) to ensure they have the time and financial resources needed to care for their growing families.
At Speechmatics, our mission is simple: Understand 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.
Contact Detail:
Speechmatics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, particularly in speech technology. Follow relevant blogs, attend webinars, and engage with communities focused on STT, TTS, and conversational AI to stay ahead of the curve.
✨Tip Number 2
Showcase your collaborative skills by participating in open-source projects or contributing to research papers. This not only demonstrates your technical expertise but also highlights your ability to work well within a team, which is crucial for this role.
✨Tip Number 3
Network with professionals in the field of machine learning and speech technology. Attend industry conferences or local meetups to connect with potential colleagues and learn more about the company culture at Speechmatics.
✨Tip Number 4
Prepare to discuss your understanding of modern machine learning stacks and optimisation strategies during interviews. Be ready to share specific examples of how you've applied these techniques in past projects to demonstrate your hands-on experience.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly with transformer architectures and distributed training techniques. Use specific examples from your past work that align with the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for speech technology and how your background aligns with Speechmatics' mission to 'Understand Every Voice'. Mention any publications or contributions to open-source projects that demonstrate your expertise.
Showcase Your Technical Skills: Include a section in your application that outlines your technical skills related to machine learning, such as optimisation strategies for model inference. Be specific about tools and frameworks you are proficient in.
Highlight Collaborative Experience: Since the role involves working with diverse teams, emphasise any previous collaborative projects you've been part of. Discuss how you contributed to team success and mentored others, if applicable.
How to prepare for a job interview at Speechmatics
✨Showcase Your Knowledge of Machine Learning
Be prepared to discuss contemporary transformer architectures and distributed training techniques. Highlight any relevant projects or publications that demonstrate your expertise in these areas.
✨Demonstrate Collaborative Skills
Since the role involves working with a diverse group of engineers, share examples of past experiences where you successfully collaborated on ambitious R&D projects. Emphasise your ability to mentor others and contribute to team success.
✨Stay Current with Industry Trends
Research the latest developments in machine learning and voice AI technologies. Being able to discuss recent advancements will show your passion for the field and your commitment to staying informed.
✨Connect Your Experience to Company Goals
Understand Speechmatics' mission to 'Understand Every Voice' and think about how your skills and experiences align with this vision. Be ready to articulate how you can contribute to their goals and the impact you hope to make.