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Research Staff, LLMs

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

The Research Staff, LLMs position at Deepgram is an exciting remote opportunity based in the USA, perfectly suited for an experienced researcher passionate about large language models and transformer architectures. This role involves pioneering entirely new approaches to audio and voice AI by designing and executing advanced experimental programs.

Role Overview

Deepgram is seeking an experienced researcher who has worked extensively with Large Language Models and possesses a deep understanding of transformer architecture to join the Research Staff. This professional will collaborate with team members to define new LLM research initiatives, survey literature, and drive transformer training jobs successfully on distributed compute infrastructure. The ideal candidate embraces an AI-first mindset, adapts quickly to rapid changes in technology, and enjoys building new systems from the ground up.

Key Responsibilities

Brainstorm and collaborate with other members of the Research Staff to define new LLM research initiatives.
Conduct broad surveys of literature, evaluating, classifying, and distilling current methods.
Design and carry out experimental programs for large language models.
Drive transformer LLM training jobs successfully on distributed compute infrastructure and deploy new models into production.
Document and present results and complex technical concepts clearly for a target audience.
Stay up to date with the latest advances in deep learning and LLMs, focusing on product implications and applications.

Requirements

3+ years of experience in applied deep learning research, with a solid understanding of different neural network types, architectures, and loss mechanisms.
Proven experience working with large language models, including data curation, distributed large-scale training, optimization of transformer architecture, and reinforcement learning training.
Strong coding experience in Python and working with PyTorch.
Experience with various transformer architectures such as auto-regressive and sequence-to-sequence.
Experience with distributed computing and large-scale data processing.
Prior experience conducting experimental programs and using results to optimize models.

Nice to Have

Deep understanding of transformers, causal language models, and their underlying architecture.
Understanding of distributed training and distributed inference schemes for LLMs.
Familiarity with RLHF labeling and training pipelines.
Up-to-date knowledge of recent LLM techniques and developments.
Published papers in deep learning research, particularly related to LLMs and deep neural networks.

Skills and Tools

Python
PyTorch
LLM architecture and optimization
Distributed computing and large-scale data processing
Reinforcement learning training

Salary and Benefits

Annual Salary: $150,000 - $250,000 USD

About the Company

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text, text-to-speech, and building production-grade voice agents at scale. Over 200,000 developers and 1,300 organizations build voice offerings powered by Deepgram, including industry leaders like Twilio, Cloudflare, Sierra, and Vapi. Backed by a recent Series C led by leading global investors and strategic partners, the company has processed over 50,000 years of audio and transcribed more than 1 trillion words.

How to Apply

To apply for this role, please visit the official Deepgram careers page to submit your application.

Skills and tech stack

PythonPyTorchLLM

Questions candidates ask

What is the compensation for this role?

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

Where is the position located?

This is a remote position based in the USA.

What experience is required for the Research Staff role?

Candidates must have 3+ years of experience in applied deep learning research with proven experience working with LLMs, Python, PyTorch, and distributed computing.

What are the primary programming languages and frameworks used?

The role requires strong coding experience in Python and working with PyTorch.

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