About this role
Deepgram is seeking a versatile professional for a remote Research Engineer, Machine Learning Systems position based in the USA. This full-time role suits someone passionate about building scalable training systems and internal tooling to advance speech recognition and synthesis technology.
Role Overview
In this position, staff members partner closely with research scientists to prototype, validate, and scale novel modeling concepts. The work sits right at the intersection of data infrastructure, internal tooling, and machine learning. Candidates will operate in an environment that moves quickly and demands an AI-first mindset, where team members routinely experiment with advanced artificial intelligence tools to enhance daily workflows.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Deepgram operates as a leading platform powering the Voice AI economy by offering real-time APIs for speech recognition and synthesis. Over 1,300 organizations and 200,000 developers utilize voice offerings backed by the platform, which has transcribed more than one trillion words. The organization runs on an AI-first operating rhythm that rewards rapid experimentation, constant learning, and adaptation.
How to Apply
Interested candidates should visit the official Deepgram careers page to submit their application for this remote position.
Skills and tech stack
Questions candidates ask
What is the salary range for this role?
The annual salary ranges from $150,000 to $250,000 USD.
Where is this position located?
This is a fully remote position based in the USA.
What technical skills are required?
Applicants should be proficient with orchestration and infrastructure tools like Docker, Kubernetes, and Prefect, alongside familiarity with MLflow and data engineering for unstructured audio and text.
What does Deepgram do?
Deepgram provides real-time APIs for speech-to-text, text-to-speech, and production-grade voice agents supporting the Voice AI economy.
How should I apply?
Candidates should apply directly through the official Deepgram careers page.