At a Glance
- Tasks: Lead innovative R&D projects in speech technology and mentor a diverse engineering team.
- Company: Join Speechmatics, a leader in Voice AI, transforming human speech into business value globally.
- Benefits: Enjoy flexible working, generous holiday allowance, and comprehensive health benefits for you and your family.
- 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, tech leadership, and familiarity with modern ML stacks required.
- Other info: Hybrid work model with 2-3 office days per week to foster collaboration.
The predicted salary is between 72000 - 108000 £ per year.
We are hiring a Principal Machine Learning Engineer to work on cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voicea vision that has propelled us to be world leaders of Voice AI, with 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 youll be doing:
- Drive diverse groups of engineers to achieve ambitious goals; you will work on complex R&D projects, and guide others by defining research milestones and collaborating together.
- Raise the bar for machine learning at Speechmatics, by applying your innovative ideas and experiences to improve the efficiency, effectiveness, and best practices across all of our machine learning teams.
- Set a forward-thinking vision for Speechmatics\’ business as a world leader in Voice AI; with your passion and understanding of the latest machine learning developments, you will influence our product and technical direction.
- Grow the engineers around you through mentorship and support, ensuring we are all continuously improving together.
This position allows you to influence what the ML team is working towards, and to efficiently leverage other engineers to increase the output of your experience.
Who we are looking for:
- Someone who can act as a tech lead and use their experience to be not only an example for their coworkers, but also a guardrail.
- Demonstrated experience in collaboratively pursuing ambitiousR&D agendas.
- Balances attention to detail with a view on the big-picture, long-term company vision, and is able to relate company goals to the goals of the team members they work with.
- Deep understanding of the modern Machine Learning stack, for example:
All potential candidates should read through the following details of this job with care before making an application.
– Knowledge of contemporary transformer architectures (e.g., GQA, KV-caching) and best practices.
– Expertise in distributed training techniques.
– Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding). - With preferred backgrounds covering some of the following:
– Publications in top-tier conferences.
– Contributions to popular open-source repositories.
– Exceptional 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 were 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; well 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; were looking for amazing people like you to continue our journey
What we can offer you:
No matter what stage of your career youre at – from paid internships and first-job opportunities through to management and senior positions – well 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 thats not all. Weve 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, its not just the right thing to do; its 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 dont 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. Were building a place where every voice not only gets heard but is also respected and valued.
We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment.#LI-Hybrid
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Principal Machine Learning Engineer London, England, United Kingdom (London) employer: Speechmatics Limited
Contact Detail:
Speechmatics Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Machine Learning Engineer London, England, United Kingdom (London)
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, particularly in speech technology. Being well-versed in contemporary transformer architectures and distributed training techniques will not only boost your confidence but also demonstrate your commitment to staying at the forefront of the field.
✨Tip Number 2
Engage with the Speechmatics community on platforms like GitHub or LinkedIn. Contributing to open-source projects or sharing insights related to voice AI can help you build a network and showcase your expertise, making you a more attractive candidate.
✨Tip Number 3
Prepare to discuss your previous R&D experiences in detail. Highlight specific projects where you led teams or contributed significantly, as this aligns with the role's emphasis on collaboration and mentorship within the engineering team.
✨Tip Number 4
Showcase your passion for innovation by discussing any personal projects or research that align with Speechmatics' mission. This could include publications or technical blogs that reflect your understanding of machine learning and its applications in speech technology.
We think you need these skills to ace Principal Machine Learning Engineer London, England, United Kingdom (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and R&D. Focus on your expertise with contemporary transformer architectures and distributed training techniques, as these are key for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for speech technology and how your background aligns with Speechmatics' mission. Mention specific projects or achievements that demonstrate your ability to lead and innovate in machine learning.
Showcase Technical Writing Skills: If you have publications or contributions to open-source repositories, include them in your application. This will showcase your technical writing skills and your active engagement in the machine learning community.
Highlight Mentorship Experience: Since the role involves mentoring other engineers, be sure to mention any previous experience you have in guiding teams or individuals. This can set you apart as a candidate who not only excels technically but also fosters growth in others.
How to prepare for a job interview at Speechmatics Limited
✨Showcase Your Technical Expertise
Be prepared to discuss your deep understanding of the modern Machine Learning stack, including contemporary transformer architectures and distributed training techniques. Bring examples from your past work or publications that demonstrate your expertise in these areas.
✨Demonstrate Leadership Skills
As a Principal Machine Learning Engineer, you'll need to act as a tech lead. Share experiences where you've successfully guided teams towards ambitious R&D goals, highlighting your ability to mentor and support fellow engineers.
✨Align with Company Vision
Understand Speechmatics' mission to 'Understand Every Voice' and be ready to discuss how your personal vision aligns with this. Show how your innovative ideas can contribute to their goal of being a world leader in Voice AI.
✨Prepare for Collaborative Discussions
Expect to engage in discussions about complex R&D projects. Be ready to articulate your thoughts on collaboration and how you can drive diverse groups of engineers to achieve shared objectives, while also being open to others' ideas.