About this role
Deepgram seeks a remote Research Staff Data Scientist based in the USA to innovate next-generation voice artificial intelligence foundation models. This position suits professionals passionate about solving complex conversational audio challenges and advancing automated data systems.
Role Overview
Deepgram is hiring a remote Research Staff member to tackle difficult data problems and explore audio research frontiers. The professional in this role will design an industrial data factory to support advanced speech-to-text and text-to-speech systems, working alongside product, engineering, and data teams.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Deepgram powers the emerging Voice AI economy with real-time APIs for speech-to-text and text-to-speech, supporting over 200,000 developers and 1,300 organizations worldwide. The company operates with an AI-first mindset, requiring all team members to actively experiment with and incorporate advanced artificial intelligence tools into their daily workflows.
How to Apply
Interested candidates should visit the official Deepgram careers page to submit an application for this position.
Skills and tech stack
Questions candidates ask
Is this position fully remote?
Yes, this role is listed as USA - Remote.
What is the salary range for the Research Staff position?
The annual salary ranges from $150,000 to $220,000 USD.
What programming languages and frameworks are required?
Candidates must have solid software engineering skills in Python and experience working with PyTorch.
What are the primary responsibilities of this role?
Responsibilities include driving data pipelines for AI foundation models, characterizing conversational audio with deep learning, building automated data labeling systems, and developing benchmarking methodologies.
What operating philosophy does Deepgram expect from employees?
Deepgram expects an AI-first mindset where employees actively experiment with, use, and build advanced AI tools into their daily work.
