Description:

Join Deepgram as a Machine Learning Engineer to prototype and validate novel modeling ideas for speech technologies.
Work at the intersection of machine learning, data infrastructure, and internal tooling to support world-class speech recognition and synthesis systems.

Requirements:

Strong experience with the machine learning research pipeline, particularly in Speech-to-Text (STT) or related domains.
Proficiency with orchestration tools like Kubernetes, Docker, and Prefect; familiarity with ML lifecycle tools such as MLflow.
Experience building internal tools for non-technical users and hands-on experience with data engineering practices for unstructured audio and text data.
Comfortable working in cross-functional teams with researchers, engineers, and product stakeholders.

Comprehensive health benefits including medical, dental, vision, and mental health support.
Unlimited PTO, flexible schedule, and generous paid parental leave.
Learning and education stipend, participation in talks and conferences, and AI enablement workshops.

Skills

Benefits