About the role
At Speechmatics, the Machine Learning team focuses on developing advanced speech recognition models, including large self-supervised architectures, to lead the Speech AI industry. The team is dedicated to translating research into practical, customer-focused solutions, working on deploying models into production with cutting-edge ML techniques and best engineering practices. The company emphasizes innovation, inclusivity, and making a global impact through speech technology.
The role of the Team Lead involves guiding a skilled group of ML engineers, providing technical oversight, and fostering professional growth. The person will plan projects, allocate resources, and ensure solutions are scalable and robust, aligning with business goals. They will also promote best practices in software engineering and ML deployment, working closely with cross-functional teams to deliver high-quality speech recognition solutions.
Candidates should have proven experience in leading ML teams, expertise in transformer architectures, distributed training, and inference optimization strategies. Proficiency in Python, TensorFlow, PyTorch, and cloud platforms is required. The role offers a hybrid work environment, with a mix of remote and office days, and is suitable for experienced professionals passionate about speech AI and team leadership.