Research Engineer, Post-Training
$150k - $250k • Remote • USA - Remote • FullTime
Posted 1d ago
Job Location
USA - Remote
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
AI Research Engineer
About the job
Deepgram is a leading platform for Voice AI, providing real-time APIs for speech-to-text and text-to-speech, enabling developers to build production-grade voice agents at scale. We are seeking researchers who are passionate about solving customer challenges by improving our AI models. This role involves identifying model limitations, designing evaluations, curating data, fine-tuning models, and shipping solutions to production within weeks. The ideal candidate will have an AI-first mindset, be comfortable experimenting with new AI tools and models, and thrive in a fast-paced, evolving environment.
Responsibilities
- Identify model shortcomings and set improvement targets.
- Design evaluations to assess model performance and identify reasons for improvement.
- Curate and generate data for model training and fine-tuning.
- Fine-tune models to enhance performance.
- Build and ship working systems to production rapidly.
Requirements
- Deep experience training, fine-tuning, and evaluating deep learning models.
- Strong Python and PyTorch skills.
- Proven track record of shipping ML models to production.
- Habit of owning problems end-to-end and acquiring necessary knowledge.
- Good judgment in prioritizing problems and determining when a solution is ready for release.
- Experience with speech-to-text, text-to-speech, or voice agents (preferred).
- Experience with distributed training (preferred).
- Published papers, open source contributions, or public benchmarks (preferred).