150K–250K USD / year
Research Engineer, Post-Training
Machine learningRemote — USA
Published on 2026-10-19
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About this role
Improve Deepgram’s voice AI models by turning customer problems into measurable goals, evaluating model performance, and developing targeted fixes. The role combines research and hands-on engineering, with an emphasis on shipping 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 whether models improve and explain why
- Curate or generate data and fine-tune models
- Build working systems and ship improvements to production
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 judge when results are ready to ship
Nice to have
- Experience with speech-to-text, text-to-speech, or voice agents
- Distributed training experience
- Published papers, open-source contributions, or public benchmarks
Benefits
- Equity
- 10% annual bonus