Develop new product features for high-scale AI APIs, improve system performance, and ensure reliability and efficiency in a collaborative backend team.

Provide high-quality technical support for Speechmatics products; resolve software issues, manage customer requests, and improve support processes.

The Software Engineer will design and build systems that connect AI transcription models, improving architecture and collaborating on complex problems while mentoring teammates.

As a Software Engineer, you will design and build scalable systems for AI transcription models, improve architecture and collaborate with teams to ensure performance and stability of cutting-edge technology.

Design and build efficient architectures for AI transcription models. Collaborate with engineers, improve system performance, and mentor peers.

The FP&A Analyst will analyze financial data, support strategic initiatives, collaborate on pricing and performance reporting, and contribute to capital allocation and forecasting efforts.

As a Software Engineer - Data & AI at Speechmatics, you'll design and manage data pipelines, ensuring quality and reliability while collaborating on AI model development.

The Software Engineer will design, implement, and manage data pipelines and scraping solutions to support AI models, ensuring data quality and compliance.

As an Infrastructure Engineer, you will manage internal infrastructure, optimize performance, and ensure hardware reliability for AI model deployment. You'll work with various technologies, oversee data center operations, and improve system efficiency through automation.

As an Infrastructure Engineer, you will manage data center operations, troubleshooting Linux systems, and handle hardware lifecycle for AI model deployment.

The Staff Machine Learning Engineer will develop and deploy scalable ML models, mentor junior engineers, and contribute to technical strategy.

Develop and deploy advanced machine learning models for speech solutions, mentor junior engineers, and collaborate across teams to meet business objectives.

The Site Reliability Engineer will enhance the reliability of products and systems, manage cloud deployments, automate processes, and improve monitoring and incident response.

The Site Reliability Engineer will enhance the reliability of products, manage CI/CD pipelines, monitor system performance, and implement observability improvements while collaborating with diverse engineering teams.

As a Machine Learning Engineer at Speechmatics, you'll advance ASR engines, scale models, and develop innovative AI features for voice interfaces.

The role involves advancing ASR engines, developing AI features, scaling models across GPUs, and researching new TTS techniques in a collaborative environment.

Drive new business and close opportunities using advanced speech technology in a fast-paced sales environment with enterprise clients.

Drive new business and manage high-value sales opportunities; collaborate with marketing for campaigns and engage with enterprise customers.

Design and manage data pipelines for AI speech models, develop web scraping solutions, and ensure data quality while collaborating with ML engineers.

The Senior Machine Learning Engineer will work on R&D in speech technology, focusing on model training, deployment, and collaboration across engineering teams.