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Research Staff, Voice AI Foundations

DeepgramUSA - RemoteResearch
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Salary
$150K - $250K USD
Job type
Full-time
Work mode
Remote
Posted
23 Aug 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Research Staff position at Deepgram focuses on pioneering Latent Space Models to overcome the fundamental data, scale, and cost challenges of modern voice AI. This remote role based in the USA suits a driven researcher passionate about developing novel audio architectures and advancing real-time speech technology.

Key Responsibilities

Build next-generation neural audio codecs that achieve extreme, low bit-rate compression and high fidelity reconstruction across world-scale audio corpora.
Pioneer steerable generative models capable of synthesizing the full diversity of human speech from codec latent representations, handling casual conversation, emotional expressions, and multi-speaker scenarios.
Develop embedding systems that cleanly factorize codec latent spaces into interpretable dimensions like speaker, content, style, environment, and channel effects.
Leverage latent recombination to generate synthetic audio data at massive scales, unlocking joint model and data scaling paradigms for audio.
Train multimodal speech-to-speech systems to understand diverse human inputs and produce empathic, human-like responses for task-oriented objectives.
Design model architectures, training schemes, and inference algorithms adapted for bare-metal hardware to enable cost-efficient training and real-time inference.

Requirements

Strong mathematical foundation in statistical learning theory, with a focus on self-supervised and multimodal learning.
Deep expertise in foundation model architectures and scalable training across multiple modalities.
Proven ability to bridge theory and practice by deriving novel mathematical formulations and implementing them efficiently.
Demonstrated capability in building robust data pipelines to process and curate massive datasets while preserving quality and diversity.
Track record of designing controlled experiments to isolate architectural impacts and validate theoretical insights.
Experience optimizing models for real-world deployment, including familiarity with hardware constraints and efficiency techniques.
History of open-source contributions or research publications advancing speech or language AI.

Skills and Tools

LLM
Neural Audio Codecs
Latent Space Models
Multimodal Learning
Statistical Learning Theory
Data Pipeline Engineering
Hardware Optimization

Salary and Benefits

Annual Salary Range: $150,000 to $250,000 USD

About the Company

Deepgram operates as a platform underpinning the trillion-dollar Voice AI economy by delivering real-time APIs for speech-to-text, text-to-speech, and production-grade voice agents. Serving over 200,000 developers and 1,300 organizations, the company utilizes voice-native foundation models accessible through cloud APIs or self-hosted software. Deepgram maintains an AI-first operational mindset where team members constantly experiment with advanced AI tools and evolve quickly alongside rapid technological changes.

How to Apply

Interested candidates should visit the official Deepgram careers page to submit an application for this remote position.

Skills and tech stack

LLM

Questions candidates ask

What is the compensation for the Research Staff role?

The annual salary ranges from $150,000 to $250,000 USD.

Where is the position located?

This is a fully remote position based in the USA.

What is the primary focus of the research?

The research focuses on pioneering Latent Space Models (LSMs) to solve fundamental data, scale, and cost challenges in voice AI.

What operating mindset does Deepgram expect from employees?

Deepgram expects an AI-first mindset, requiring team members to actively use, experiment with, and build advanced AI tools into their everyday work.

How can I apply for this job?

You can apply directly on the official Deepgram careers page.

Ready to apply?

The application is on the official Deepgram careers page.

Apply on company site