Job Details

Research Staff, Machine Learning Engineer

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. Our platform powers 200,000+ developers and enterprise customers with high accuracy, low latency, and competitive pricing. Deepgram is committed to advancing the state of voice AI.

The Role

Deepgram is seeking a highly skilled and versatile Machine Learning Engineer to join our Research Staff team. As a Member of the Research Staff, this role focuses on scaling training systems for speech-related technologies, building internal tools, and driving innovation in 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.

Key Responsibilities

• Scalable Model Training: Architect and manage horizontally scalable training systems for Speech to Text (STT) and Text to Speech (TTS) models across diverse domains, including non-English languages and customer-centric use cases. These systems include data preparation and management, training pipelines, and automated evaluation tooling.
• Tooling & Accessibility: Design and implement internal UIs and tools that make ML systems and workflows accessible to non-technical stakeholders across the company, providing transparency and flexibility for internally built tooling.
• Infrastructure & Tools: Oversee and manage training tooling, job orchestration, experiment tracking, and data storage.

The Challenge

We are seeking Members of the Research Staff who:

• See unsolved problems as opportunities to pioneer entirely new approaches
• Can identify the one critical experiment that will validate or kill an idea in days, not months
• Have the vision to scale successful proofs-of-concept 100x
• Are obsessed with using AI to automate and amplify your own impact

If you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.

What Youll Bring

• Strong experience in training large-scale machine learning systems, 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.

Nice to Have

• Deep understanding of evaluation metrics and benchmarking techniques for ASR and/or TTS systems.

Why Join Deepgram?

At Deepgram, you'll help shape the future of human–machine communication. Our research culture prioritizes ownership, experimentation, and real-world impact. As a Member of the Research Staff, you'll be empowered to build tools and systems that accelerate ML research and product deployment at scale.

Deepgram is backed by prominent investors and has raised substantial funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you.

Equality and Accommodation

Deepgram is an equal opportunity employer. We encourage applicants from all backgrounds and do not discriminate on race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by law. We are happy to provide accommodations for applicants who need them.

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