Research Staff, Data Science

Overview

COMPANY OVERVIEW Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola,

What you'll do

• Conversational audio presents incredibly rich scientific, engineering, and infrastructure challenges that are orders of magnitude harder than working with text.
• As a Member of the Research Staff, you will help us to build an industrial “data factory” that will be used to power the next generation of Voice AI systems
• unlocking the creation of models that go beyond basic transcription and comprehension, capturing nuanced meanings in complex conversations, adapting robustly to diverse speech patterns, and generating empathic responses with human-like, contextualized speech.
• You will collaborate closely with our product, engineering, and data teams to build and deploy models in the most scalable voice API on the planet.
• We look forward to you bringing your expertise, sharing insights from your latest experiments, and collaborating with us to push the boundaries of AI and voice technology.
• THE CHALLENGE We are seeking Research Staff who:
• See "unsolved" problems as opportunities to pioneer entirely new approaches
• Can identify the one critical experiment that will validate or kill an idea in days, not months

Requirements

• Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work.
• We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here.
• Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
• Additionally, we move at the pace of AI.
• Change is rapid, and you can expect your day-to-day work to evolve just as quickly.
• This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
• THE OPPORTUNITY Voice is the most natural modality for human interaction with machines.
• However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction.

Skills