Research Engineer, Machine Learning Systems

Deepgram is seeking a highly skilled and versatile Machine Learning Engineer to join our Research team. As a Member of the Research Staff, you will partner with research scientists to prototype and validate novel modeling ideas, then scale them through robust training systems for speech technologies, internal tooling, and innovative data strategies. You'll work at the intersection of machine learning, data infrastructure, and internal tooling to support our mission of building world-class speech recognition and synthesis systems.

Responsibilities

Architect and manage horizontally scalable systems that accelerate the end-to-end training lifecycle for Speech-to-Text (STT) and Text-to-Speech (TTS) models; Design and implement internal UIs and tools that make ML systems and workflows accessible to non-technical stakeholders across the company; Oversee and manage training tooling, job orchestration, experiment tracking, and data storage.

Requirements

Strong experience with the machine learning research pipeline, particularly in STT or related speech domains; Proficiency with orchestration and infrastructure tools like Kubernetes, Docker, and Prefect; Familiarity with ML lifecycle tools such as MLflow; Experience building internal tools or dashboards for non-technical users; Hands-on experience with data engineering practices for unstructured audio and text data; Comfortable working in cross-functional teams that include researchers, engineers, and product stakeholders.