Research Engineer, Post-Training
Remote · San Francisco · New York City, NY · Full-time · Remote · Posted Oct 19, 2026
At a glance
- Employment
- Full-time
- Workplace
- Remote
- Location
- Remote · San Francisco · New York City, NY
About the role
- Deepgram is seeking a Research Engineer for Post-Training to solve customer challenges at scale by measuring limits in voice AI, fixing them, and shipping fixes to customers in weeks.
- The role involves finding where models fall short, setting targets, designing evaluations, curating and generating data, and fine-tuning models.
Responsibilities
- Find where models fall short and set targets for improvement
- Design evaluations that show whether a model is better and why
- Curate and generate data and fine-tune models
- Build working systems quickly and ship them to production
- Expand models to new languages and regions
- Improve how text-to-speech pronounces names, terms, and numbers
- Isolate a speaker's voice from background noise and crosstalk
- Give customers early access to new voice capabilities, like steerable and cloned voices, and use their feedback to guide research methodology
- Release new benchmarks for Voice AI use-cases
Requirements
- Deep experience training, fine-tuning, and evaluating deep learning models
- Strong Python and PyTorch skills
- A track record of shipping ML to production
- A habit of owning problems end to end and learning what you need along the way
- Good judgment about which problems matter and when a result is ready to ship
Preferred qualifications
- Experience with speech-to-text, text-to-speech, or voice agents
- Experience with distributed training
- Published papers, open source contributions, or public benchmarks
Skills
- Python
- PyTorch
- Deep Learning
- Speech-to-Text
- Text-to-Speech
- Distributed Training
