Principal Machine Learning Engineer
Principal Machine Learning Engineer

Principal Machine Learning Engineer

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead innovative projects in Machine Learning and mentor a diverse team of engineers.
  • Company: Join Speechmatics, a leader in Speech Intelligence, transforming voice technology globally.
  • Benefits: Enjoy flexible working, generous holiday allowance, and comprehensive health benefits.
  • Why this job: Be part of a mission to Understand Every Voice and drive impactful change in AI.
  • Qualifications: Experience in Machine Learning, tech leadership, and a passion for R&D is essential.
  • Other info: Hybrid work model with 2-3 office days per week; diversity and inclusion are core values.

The predicted salary is between 43200 - 72000 £ per year.

We are hiring a Principal Machine Learning Engineer to work on 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, 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 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:

  • Define research milestones and work with a diverse group of engineers across Speechmatics, guiding them to achieve ambitious goals.
  • Stay current with the latest developments in Machine learning and align these with the company's goals.
  • Identify and execute high-impact projects to ensure the team’s success.
  • Mentor and support team members in their growth and development.

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 ambitious R&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:
  • 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 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.

    Principal Machine Learning Engineer employer: Speechmatics

    At Speechmatics, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions innovation and inclusivity. Our commitment to employee growth is evident through tailored training opportunities and a supportive environment where every voice is valued. With flexible working arrangements, generous benefits, and a focus on collaboration, we empower our team to thrive while making a meaningful impact in the world of Voice AI.
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    Contact Detail:

    Speechmatics Recruiting Team

    StudySmarter Expert Advice 🤫

    We think this is how you could land Principal Machine Learning Engineer

    ✨Tip Number 1

    Familiarise yourself with the latest advancements in machine learning, particularly in speech technology. Being able to discuss recent developments or breakthroughs during your interview will demonstrate your passion and commitment to the field.

    ✨Tip Number 2

    Showcase your collaborative skills by preparing examples of past projects where you led a team or mentored others. This aligns perfectly with our need for someone who can guide engineers towards ambitious goals.

    ✨Tip Number 3

    Engage with the Speechmatics community online. Follow us on social media, participate in discussions, and share your insights on relevant topics. This not only shows your enthusiasm but also helps you understand our culture better.

    ✨Tip Number 4

    Prepare to discuss how your experience aligns with our mission to 'Understand Every Voice'. Think about how your background in machine learning can contribute to our vision and be ready to articulate this during your interview.

    We think you need these skills to ace Principal Machine Learning Engineer

    Expertise in Machine Learning algorithms and frameworks
    Deep understanding of transformer architectures
    Experience with distributed training techniques
    Familiarity with optimisation strategies for model inference
    Strong programming skills in Python and relevant ML libraries (e.g., TensorFlow, PyTorch)
    Proficiency in data preprocessing and feature engineering
    Ability to define research milestones and project goals
    Exceptional technical writing skills for documentation and publications
    Experience mentoring and guiding team members
    Strong analytical and problem-solving skills
    Knowledge of software engineering best practices
    Ability to stay current with the latest developments in Machine Learning
    Experience in collaborative R&D environments
    Excellent communication and interpersonal skills

    Some tips for your application 🫡

    Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and speech technology. Focus on projects that demonstrate your expertise in areas like transformer architectures, distributed training techniques, and model optimisation strategies.

    Craft a Compelling Cover Letter: In your cover letter, express your passion for voice AI and how your background aligns with the company's mission to 'Understand Every Voice'. Mention specific projects or achievements that showcase your ability to lead R&D initiatives.

    Showcase Technical Writing Skills: If you have publications or contributions to open-source projects, include links or references in your application. This demonstrates your technical writing skills and commitment to the field of machine learning.

    Highlight Mentorship Experience: Since the role involves mentoring team members, be sure to mention any previous experience you have in guiding others. Discuss how you've supported colleagues in their professional growth and how you can bring that to the Speechmatics team.

    How to prepare for a job interview at Speechmatics

    ✨Showcase Your Technical Expertise

    As a Principal Machine Learning Engineer, it's crucial to demonstrate your deep understanding of the modern ML stack. Be prepared to discuss contemporary transformer architectures and distributed training techniques, as well as optimisation strategies for model inference. Highlight any relevant projects or publications that showcase your expertise.

    ✨Align with Company Goals

    Familiarise yourself with Speechmatics' mission to 'Understand Every Voice'. During the interview, articulate how your experience and vision align with their goals. Discuss how you can contribute to high-impact projects and help guide the team towards achieving ambitious research milestones.

    ✨Emphasise Mentorship and Leadership Skills

    This role requires acting as a tech lead and mentor. Share examples from your past experiences where you've successfully guided teams or individuals. Highlight your ability to balance attention to detail with a big-picture perspective, ensuring that team members feel supported in their growth and development.

    ✨Prepare for Collaborative Discussions

    Expect to engage in discussions about collaborative R&D agendas. Be ready to share your thoughts on how to pursue ambitious projects while working effectively with diverse groups of engineers. Demonstrating your ability to foster collaboration will be key to showcasing your fit for this role.

    Principal Machine Learning Engineer
    Speechmatics
    S
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