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About The Company
Speechmatics is a global leader in Speech Intelligence, leveraging Artificial Intelligence and Machine Learning to unlock the value of human speech across diverse industries and applications. Our innovative technology seamlessly integrates into our clients' existing systems, regardless of their sector or use case, making us the go-to solution for extracting meaningful insights from speech data. With a passionate team of experts worldwide, we focus on cutting-edge projects that disrupt the market and push the boundaries of what is possible in Voice AI. Our commitment to innovation, inclusivity, and making a positive global impact drives us to develop world-leading speech recognition solutions that understand every voice.
About The Role
We are seeking an experienced Principal Machine Learning Engineer to join our dynamic Modelling Team. In this hands-on, technical leadership role, you will be instrumental in developing and deploying advanced speech recognition models, including large self-supervised architectures. Your work will directly support our mission to deliver the most accurate and scalable speech recognition systems worldwide. You will translate research breakthroughs into production-ready services, optimize models for performance and efficiency, and help shape the long-term technical vision of our ML initiatives. Additionally, you will mentor engineering teams, foster a culture of innovation and excellence, and collaborate across departments to solve complex ML challenges. This role offers a unique opportunity to influence the future of Speech AI while working on impactful, real-world solutions.
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Qualifications
- Deep understanding of the modern Machine Learning stack, including transformer architectures and best practices
- Expertise in distributed training techniques and optimization strategies for model inference
- Proven experience developing and deploying models at scale in production environments
- Proficiency in Python and ML frameworks such as TensorFlow and PyTorch
- Experience with cloud platforms and MLOps principles, including CI/CD pipelines, Docker, and Kubernetes
- Strong knowledge of speech-to-text or text-to-speech technologies (preferred)
- Contributions to open-source projects or published research in top-tier conferences (preferred)
- Excellent problem-solving skills and ability to work independently and collaboratively
- Effective leadership and mentoring capabilities
Responsibilities
- Develop, train, and deploy scalable ML models that support Speechmatics' products and services
- Translate cutting-edge research into practical, maintainable code and systems
- Optimize models for speed, accuracy, and cost efficiency in production environments
- Evaluate emerging ML techniques and integrate them into our existing stack
- Identify and resolve complex ML challenges across various projects and teams
- Establish and enforce best practices for code quality, model lifecycle management, and deployment processes
- Mentor and guide engineering team members to foster technical excellence and innovation
- Contribute to defining the company's long-term ML technical vision and strategy
- Collaborate with cross-functional teams to ensure seamless integration of ML solutions into products
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Benefits
- Flexible working arrangements including hybrid work model with designated office days
- Comprehensive private medical and dental coverage for employees and their families
- Generous holiday allowance and pension/401K matching
- Work-from-home allowance for home office setup and equipment
- Supportive parental leave policies, including adoption assistance and reproductive health services
- Regular team-building activities, company lunches, and birthday celebrations
- Opportunities for professional development and career progression
- Inclusive and diverse work environment that values every voice
Equal Opportunity
Speechmatics is committed to creating an inclusive environment where all employees and applicants are treated with respect and fairness. We celebrate diversity in all its forms and actively encourage individuals from all backgrounds, genders, races, ages, sexual orientations, and abilities to apply. We believe that a diverse workforce fosters innovation, enhances our workplace culture, and helps us better serve our global customers. Equal opportunity employment is a fundamental aspect of our company values, and we are dedicated to providing a supportive environment for everyone to thrive and succeed.
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