Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS), and full speech-to-speech (STS) offerings.
The company has over 200,000 developers using its voice-native foundational models, which are accessed through APIs or as self-managed software, due to unmatched accuracy, latency, and pricing.
Customers include software companies, co-sell partners, and enterprises solving internal voice AI use cases.
The company ended 2024 cash-flow positive with over 400 enterprise customers and has seen 3.3x annual usage growth over the past four years.
The role of Machine Learning Engineer focuses on scaling training systems for speech-related technologies, building internal tools, and driving innovation in data strategies.
Responsibilities include architecting scalable training systems for STT and TTS models, designing internal UIs and tools for non-technical stakeholders, and managing training tooling and data storage.
Requirements:
Strong experience in training large-scale machine learning systems, particularly in STT or related speech domains is required.
Proficiency with orchestration and infrastructure tools such as Kubernetes, Docker, and Prefect is necessary.
Familiarity with ML lifecycle tools like MLflow is expected.
Experience in building internal tools or dashboards for non-technical users is essential.
Hands-on experience with data engineering practices for unstructured audio and text data is required.
Candidates must be comfortable working in cross-functional teams that include researchers, engineers, and product stakeholders.
Benefits:
Employees will help shape the future of human-machine communication and will be empowered to build tools and systems that accelerate ML research and product deployment at scale.
Deepgram has raised over $85 million in total funding from prominent investors, providing a stable and innovative work environment.
The company promotes a research culture that prioritizes ownership, experimentation, and real-world impact.
Deepgram is an equal opportunity employer and is committed to representing diverse voices and perspectives in its workforce.
Accommodations are available for applicants who need them.