150K–250K USD / year
Research Staff, Applied Voice AI
Machine learningRemote — USA
Published on 2026-10-19
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About this role
Research Staff will identify shortcomings in Deepgram’s voice AI models, design evaluations, and improve model performance for customer use. The role combines research and applied engineering, with an emphasis on shipping measurable improvements to production quickly.
About the company
Deepgram builds speech-to-text and voice AI APIs that convert audio into text and power voice applications for developers and enterprises.
The team
Research
Stack
PythonPyTorch
What you'll do
- Identify model limitations and set improvement targets
- Design evaluations to measure model quality and explain results
- Curate or generate data and fine-tune models
- Build systems and ship improvements to production
- Own customer problems through measurable production improvements
What we're looking for
- Deep experience training, fine-tuning, and evaluating deep learning models
- Strong Python and PyTorch skills
- Track record of shipping machine learning systems to production
- Ability to own problems end to end and exercise judgment about what is ready to ship
Nice to have
- Experience with speech-to-text, text-to-speech, or voice agents
- Experience with distributed training
- Published papers, open-source contributions, or public benchmarks
Benefits
- Equity
- 10% annual bonus