Jobs at Speechmatics

Build and maintain the backend, website, and self-serve portal for Speechmatics. Develop production-ready components, manage Vercel deployments and infrastructure, implement UI changes, write Python queries, improve funnel conversion, and optimize performance and reliability. Collaborate asynchronously with product, design, and data teams in a product-led SaaS environment.

Develop and deploy advanced machine learning models for speech recognition, including large self-supervised and transformer-based systems. Lead complex R&D projects, apply distributed training and inference optimization techniques, collaborate across departments, stay current with ML developments, and mentor team members. The role combines cutting-edge research with production model serving and software engineering best practices.

Develop and deploy advanced machine learning models for speech recognition, including large self-supervised and transformer-based models. Lead complex R&D projects, apply distributed training and inference optimization techniques, collaborate across departments, stay current with ML advancements, and mentor team members. The role combines research, software engineering, and production model serving to improve Speechmatics’ speech recognition capabilities.

Own backend development for the company website and self-serve portal. Build production-ready components, manage Vercel deployments and infrastructure, implement UI changes, query portal data with Python, and improve conversion across the self-serve funnel. The role combines hands-on software engineering, site performance optimization, experimentation, and cross-functional collaboration in a product-led SaaS environment.

Partners with Sales to lead technical pre-sales, understand customer requirements, design solutions, build demos and proof-of-concepts, deploy cloud or on-premise environments, write integrations, troubleshoot issues, and deliver technical presentations. The role also supports customer accounts, conferences, global showcases, and internal knowledge sharing.

Partners with Sales to lead technical pre-sales engagements, including discovery, solution design, demos, prototypes, proof-of-concepts, deployments, integrations, troubleshooting, and technical presentations. Builds lightweight scripts and configures cloud or on-premises environments to help customers evaluate speech technology. Supports accounts, conferences, global showcases, and internal knowledge sharing.

Build and operate scalable data pipelines, web scraping systems, and ML infrastructure for training, evaluating, and serving speech AI models. Responsibilities include improving GPU utilization, scheduling, observability, data quality, production reliability, and distributed-system troubleshooting. The role also contributes to MLOps practices and platform roadmap development.

Build and operate scalable data pipelines, web-scraping systems, and ML infrastructure for speech AI. Responsibilities include preparing training data, supporting model training and evaluation, serving models in production, optimizing GPU and distributed workloads, implementing observability, and troubleshooting end-to-end data and ML systems.