Research Engineer, Post-Training

Overview

Research engineer role on Deepgram's Post-Training team, turning customer-reported limits in voice AI models into measured improvements shipped to production.

What you'll do

• Find where Deepgram's 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

What you'll need

• 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

Details

• Location: USA, remote
• Expectation to actively use and experiment with advanced AI tools in everyday work