LLM Research Scientist – Transformer & RL

Deepgram; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

Deepgram is seeking an experienced researcher to advance LLM research, focusing on transformer architectures, data curation, and distributed training. You will tackle hard technical challenges and contribute to production-grade models with broad impact.

The role emphasizes experimentation, collaboration with the Research Staff, and staying at the forefront of deep learning advances to scale and deploy state-of-the-art voice AI capabilities.

Qualifications

• 3+ years of experience in applied deep learning research.
• Experience with large language models (LLMs).
• Strong Python and Pytorch skills.
• Experience with distributed computing.
• Experience with experimental programs and using results to optimize models.

Responsibilities

• Brainstorm and define new LLM research initiatives with the Research Staff.
• Survey literature, evaluate, classify, and distill current methods.
• Design and run experimental programs for LLMs.
• Drive transformer (LLM) training jobs on distributed compute and deploy models.
• Document and present results clearly for a target audience.
• Stay up to date with advances in deep learning and LLMs and apply to our products.

Skills

Python

Pytorch

LLMs

Transformer architecture

Distributed computing

Job description

Deepgram is seeking an experienced researcher to advance LLM research, focusing on transformer architectures, data curation, and distributed training. You will tackle hard technical challenges and contribute to production-grade models with broad impact.

The role emphasizes experimentation, collaboration with the Research Staff, and staying at the forefront of deep learning advances to scale and deploy state-of-the-art voice AI capabilities.