At a Glance
- Tasks: Lead the development of cutting-edge ML models for speech recognition.
- Company: Global leader in Voice AI based in London.
- Benefits: Competitive salary, impactful role, and opportunities for mentorship.
- Other info: Dynamic environment with a focus on innovation and technical excellence.
- Why this job: Join a pioneering team shaping the future of voice technology.
- Qualifications: Expertise in modern ML stack and experience with large-scale model deployment.
The predicted salary is between 80000 - 120000 € per year.
You will lead the translation of cutting-edge research into scalable, customer-centric speech solutions. This high-ownership role involves developing diverse ML models, including large self-supervised architectures, to maintain the world’s most accurate speech recognition system. You will span the entire codebase, driving technical vision and mentoring engineering teams to achieve excellence in model deployment.
Location: London, UK
Why this role is remarkable:
- Work at the forefront of Voice AI innovation, building models that help the world understand every voice through world-leading speech technology.
- Take on a high-impact technical leadership role with total ownership, co-defining the long-term technical vision for an organization at the peak of its market.
- Join a specialized modeling team that balances high-level research with robust engineering practices, utilizing the latest in transformer architectures and MLOps.
What You Will Do:
- Develop and optimize advanced ML models for speed, accuracy, and cost efficiency, ensuring seamless transition from research to production.
- Define and enforce technical best practices across the organization for code quality, model lifecycle management, and containerized deployment.
- Mentor fellow engineers and foster a culture of technical excellence while identifying and solving complex ML bottlenecks across the entire product stack.
The ideal candidate:
- Possesses deep expertise in the modern ML stack, including contemporary transformer architectures (GQA, KV-caching) and distributed training techniques.
- Demonstrates a proven track record of deploying large-scale models using Python, PyTorch/TensorFlow, and MLOps tools like Docker and Kubernetes.
- Brings a specialized background in speech-to-text or text-to-speech technology, ideally with contributions to open-source projects or top-tier research publications.
Principal Machine Learning Engineer at global leader in Voice AI employer: Jack & Jill
As a global leader in Voice AI, this company offers an exceptional work environment in London, where innovation meets collaboration. Employees benefit from a culture that prioritises technical excellence and mentorship, alongside opportunities for professional growth in cutting-edge machine learning technologies. With a focus on impactful projects and a commitment to understanding every voice, this role provides a unique chance to shape the future of speech recognition.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Machine Learning Engineer at global leader in Voice AI
✨Tip Number 1
Network like a pro! Reach out to people in the Voice AI space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to speech technology. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of transformer architectures and MLOps tools. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Principal Machine Learning Engineer at global leader in Voice AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Principal Machine Learning Engineer role. Highlight your expertise in ML models, especially those related to speech technology, and don’t forget to mention any relevant projects or contributions.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about Voice AI and how your background makes you the perfect fit for this role. Be specific about your experience with transformer architectures and MLOps tools.
Showcase Your Projects:If you've worked on any interesting ML projects, especially in speech recognition, make sure to include them in your application. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at Jack & Jill
✨Know Your ML Models Inside Out
Make sure you’re well-versed in the latest machine learning models, especially transformer architectures. Be ready to discuss your experience with large self-supervised models and how you've optimised them for speed and accuracy.
✨Showcase Your Technical Leadership
Prepare examples of how you've led teams or projects in the past. Highlight your mentoring experiences and how you've enforced best practices in code quality and model lifecycle management.
✨Demonstrate Your Problem-Solving Skills
Think of specific challenges you've faced in ML deployment and how you overcame them. This role involves identifying and solving complex bottlenecks, so be ready to share your thought process and solutions.
✨Familiarise Yourself with the Company’s Vision
Research the company’s current projects and their impact on Voice AI. Understanding their mission to 'Understand Every Voice' will help you align your answers with their goals and show your genuine interest in the role.
