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$150,000 – $250,000
Listed on Deepgram’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role focuses on building scalable training systems and tools that accelerate machine learning research for speech AI, combining infrastructure engineering with research support. It suits engineers who thrive on rapid experimentation, enjoy bridging research and product, and want to work on foundational problems in audio AI.
Our summary, not Deepgram’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Experience with machine learning research pipeline in speech or STT domains
- Proficiency with Kubernetes, Docker, and orchestration tools
- Familiarity with ML lifecycle tools like MLflow
- Experience building internal tools or dashboards for non-technical users
- Hands-on experience with data engineering for audio and text data
- Ability to work in cross-functional teams