# Research Engineer, Machine Learning Systems at Deepgram

- Company: Deepgram
- What the company does: Power enterprise voice solutions with Deepgram’s Speech-to-Text, Text-to-Speech, and Voice Agent APIs. Real-time, accurate, and built for scale. Backed by Y Combinator and Madrona.
- Company website: https://www.deepgram.com
- Type: Startups (AI role)
- Level: Mid level
- Location: USA | Remote
- Work setup: Remote
- Pay: $150K to $250K base salary per year (USD)
- Posted: 2026-08-23
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/deepgram/9a030b32-d671-43e0-a221-4653bb73ba29
- Page: https://www.1752.vc/careers/jobs/deepgram-research-engineer-machine-learning-systems/

## About the role

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, and Jack in the Box.

## What they're looking for

- Strong experience with the machine learning research pipeline, particularly in STT or related speech domains. This includes experimenting with and evaluating new architectures and modeling approaches, and implementing large-scale training systems
- Proficiency with orchestration and infrastructure tools like Kubernetes, Docker, and Prefect
- Familiarity with ML lifecycle tools such as MLflow
- Experience building internal tools or dashboards for non-technical users
- Hands-on experience with data engineering practices for unstructured audio and text data
- Comfortable working in cross-functional teams that include researchers, engineers, and product stakeholders

Tags: Research