Research Staff, Applied Voice AI

The role

You will find where models fall short and set targets for improvement. You will design evaluations, curate and generate data, fine-tune models, and build working systems to ship to production.

What you will do

• Find where our 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

Required qualifications

• 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

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

About the company

Deepgram is a research company that productizes as fast as possible. Their speech models and real-time infrastructure power AI systems for more than 5,000 organizations.