data
Posted Apr 23Research Engineer, Machine Learning Systems
at Deepgram
United StatesRemote
Responsibilities
- RESPONSIBILITIES - Scalable Model Training: Architect and manage horizontally scalable systems that dramatically accelerate the end-to-end training lifecycle for Speech-to-Text (STT) and Text-to-Speech (TTS) models.
Requirements
- 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.
- COMPANY OPERATING RHYTHM At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
- 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.
- However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction.
- We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.
- THE ROLE Deepgram is seeking a highly skilled and versatile Machine Learning Engineer to join our Research team.
- You'll work at the intersection of machine learning, data infrastructure, and internal tooling to support our mission of building world-class speech recognition and synthesis systems.
- On the Research team, you will experiment with new technologies and techniques, while also working on product-focused deliverables, learning from colleagues with a wide range of expertise in AI and machine learning as you go. KEY
- THE CHALLENGE We are seeking Members of the 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 - Have the vision to scale successful proofs-of-concept 100x - Are obsessed with using AI to automate and amplify your own impact If you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading