Research Staff, Applied Voice AI
$150k - $250k • Remote • USA - Remote • FullTime
Posted 1d ago
Job Location
USA - Remote
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
LLM Engineer
About the job
Deepgram is a leading platform for the Voice AI economy, offering real-time APIs for speech-to-text, text-to-speech, and building voice agents at scale. We empower over 1,300 organizations and 200,000 developers to create voice offerings powered by our advanced foundation models, accessible via cloud APIs or self-hosted solutions. Our AI-first approach means every team member is expected to actively use, experiment with, and build AI tools into their daily work, driving innovation and performance. We operate at the rapid pace of AI, requiring adaptability, continuous learning, and a proactive mindset to solve customer challenges and push technological boundaries.
Responsibilities
- Identify model shortcomings and establish improvement targets.
- Design evaluations to assess model performance and identify reasons for improvement.
- Curate and generate data for model fine-tuning.
- Fine-tune models based on data and evaluation results.
- Build and deploy functional systems to production rapidly.
Requirements
- Demonstrated experience in training, fine-tuning, and evaluating deep learning models.
- Proficiency in Python and PyTorch.
- Proven ability to ship Machine Learning models to production.
- A consistent practice of taking ownership of problems from start to finish and acquiring necessary knowledge along the way.
- Sound judgment in prioritizing problems and determining when a solution is ready for deployment.
- Experience with speech-to-text, text-to-speech, or voice agents is a plus.
- Experience with distributed training is a plus.
- Published research papers, contributions to open-source projects, or creation of public benchmarks are advantageous.