Research Staff, Applied Voice AI

The Opportunity

We're building the engine that solves customer challenges at scale. When customers hit a limit in our voice AI, you'll measure it, fix it, and ship the fix to every customer in weeks.

Example projects

• Expanding our models to new languages and regions

• Improving how text-to-speech pronounces names, terms, and numbers

• Isolating a speaker's voice from background noise and crosstalk

• Giving customers early access to new voice capabilities, like steerable and cloned voices, and using their feedback to guide the research methodology

• Releasing new benchmarks for Voice AI use-cases
  

• 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

We don't require a specific degree. Show us hard problems you've solved in past projects, shipped systems, or open source work.

You will thrive in this role if you enjoy

• Turning vague customer problems into clear metrics

• Using whatever works to fix them, including fine-tuning, new data, and external models

• Shipping work that customers use within weeks
  

We are seeking researchers who

• Own a customer problem until it measurably improves in production

• Find the fastest path to a fix, even if it's an approach no one has tried

• Can tell when a result is ready for customers

If these expectations energize you, you might be the person we need. This role takes focus on the customer's problem, creativity in approach, and a strong drive to ship.

You May Be a Good Fit If You Have

• 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

Strong Candidates May Have

• Experience with speech-to-text, text-to-speech, or voice agents

• Experience with distributed training

• Published papers, open source contributions, or public benchmarks

Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to [email removed].