At a Glance
- Tasks: Lead a team of ML engineers to create innovative speech solutions.
- Company: Join a world leader in Speech AI with a focus on inclusivity and innovation.
- Benefits: Flexible working, competitive salary, health benefits, and professional development opportunities.
- Other info: Dynamic hybrid work environment with excellent career growth potential.
- Why this job: Make a global impact by advancing cutting-edge speech technology.
- Qualifications: Experience in mentoring ML engineers and strong knowledge of modern ML practices.
The predicted salary is between 72000 - 88000 $ per year.
We are hiring a Machine Learning Team Lead to lead a team of driven ML engineers working on translating cutting-edge research into ambitious, customer-centric speech solutions. As innovators in speech technology, our mission is to Understand Every Voice — a vision that has propelled us to be world leaders of Speech AI. 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 Team Lead to accelerate our efforts towards exceptional speech solutions.
Our Modelling Team builds and trains a broad spectrum of models, including large self-supervised architectures, advancing the company' mission to provide the most accurate speech recognition technology worldwide. It also ensures their deployment into production, working with the latest developments in ML, but also with the best practices for software engineering and model serving.
What you'll be doing:
- Lead, mentor, and grow a world-class team of ML engineers through coaching and professional development.
- Provide technical oversight and guidance for end-to-end ML development, ensuring solutions are robust and scalable.
- Guide the adoption of best practices in software engineering.
- Plan work, allocate resources and collaborate cross-functionally to align initiatives with business objectives and bring solutions to production.
- Drive the technical work for the ML team to deliver high-quality technical solutions that achieve ambitious strategic goals.
Who we are looking for:
- Demonstrable experience in guiding and mentoring ML engineers.
- Adept at prioritizing work by impact, feasibility, and time-to-value, with clear success metrics.
- Strong understanding of the modern Machine Learning stack, for example:
- Knowledge of contemporary transformer architectures, related concepts (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).
- Proven track record of developing and deploying models at scale.
- Proficiency in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms.
- Strong familiarity with software engineering practices and ML testing frameworks.
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.
- 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 the company, 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.
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.
Machine Learning Team Lead in Cambridge employer: Speechmatics
As a Senior Machine Learning Engineer at our innovative company, you'll be part of a dynamic team dedicated to advancing speech technology and making a global impact. We offer a supportive work culture that prioritises employee growth through training and development opportunities, alongside flexible working arrangements and comprehensive benefits that cater to your well-being and career aspirations. Join us in a collaborative environment where diverse voices are celebrated, and together, we can achieve exceptional outcomes in the field of Voice AI.
