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- Tasks: Join our team to work on innovative speech technology projects and mentor fellow engineers.
- Company: Speechmatics is a leader in Speech Intelligence, transforming human speech into valuable insights using AI.
- 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 cutting-edge AI solutions.
- Qualifications: Experience in machine learning, with knowledge of modern architectures and distributed training techniques.
- Other info: We embrace a hybrid work model, balancing remote flexibility with essential in-person collaboration.
The predicted salary is between 48000 - 72000 £ per year.
We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice—a vision that has propelled us to be world leaders 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 speech solutions.
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 on complex R&D projects, with a diverse group of engineers, 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.
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.
- We offer incredibly flexible working, regular company lunches, and birthday celebrations.
- 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.
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.
Senior Machine Learning Engineer Cambridge, England, United Kingdom employer: Speechmatics Limited
Contact Detail:
Speechmatics Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer Cambridge, England, United Kingdom
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, particularly in speech technology. This will not only help you understand the company's mission but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your collaborative skills by discussing past projects where you worked with diverse teams. Highlighting your ability to mentor others and contribute to a team-oriented environment will resonate well with our values.
✨Tip Number 3
Engage with the open-source community by contributing to relevant projects or sharing your insights through technical blogs. This demonstrates your passion for machine learning and can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your understanding of modern machine learning stacks and optimisation strategies. Being able to articulate your knowledge of contemporary transformer architectures and distributed training techniques will show that you're a strong fit for the role.
We think you need these skills to ace Senior Machine Learning Engineer Cambridge, England, United Kingdom
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and R&D. Focus on projects that demonstrate your skills with transformer architectures, distributed training techniques, and any publications or contributions to open-source repositories.
Craft a Compelling Cover Letter: In your cover letter, express your passion for speech technology and how your background aligns with the company's mission to 'Understand Every Voice'. Mention specific projects or experiences that showcase your ability to work collaboratively and pursue ambitious goals.
Showcase Technical Skills: Clearly outline your technical skills related to the modern machine learning stack. Include details about your familiarity with optimisation strategies for model inference and any relevant tools or frameworks you have used in past projects.
Highlight Mentorship Experience: If applicable, mention any experience you have in mentoring team members. This can demonstrate your leadership qualities and ability to contribute positively to the team dynamic at Speechmatics.
How to prepare for a job interview at Speechmatics Limited
✨Showcase Your R&D Experience
Be prepared to discuss your previous research and development projects in detail. Highlight specific challenges you faced, how you overcame them, and the impact of your work. This will demonstrate your ability to contribute to ambitious R&D agendas.
✨Stay Updated on Machine Learning Trends
Familiarise yourself with the latest developments in machine learning, especially in areas relevant to speech technology. Mention any recent papers or breakthroughs that excite you, as this shows your passion and commitment to the field.
✨Demonstrate Technical Knowledge
Be ready to discuss contemporary transformer architectures and distributed training techniques. Prepare examples of optimisation strategies you've used in past projects, as this will showcase your technical expertise and understanding of the modern ML stack.
✨Emphasise Collaboration and Mentorship
Since the role involves working collaboratively across departments, share experiences where you've successfully worked in teams or mentored others. This will highlight your ability to foster a positive team environment and contribute to collective success.
