Deepgram
Research Staff, LLMs
$150K–$250K
USA - Remote +2 · Remote · Staff · Full-time · Posted Aug 23, 2026
- Location
- USA - Remote
San Francisco, CA
Ann Arbor, Michigan - Experience
- 3+ years in applied deep learning research.
About the job
Conduct LLM research, run distributed training experiments, and deploy models into production, with a focus on advancing transformer-based systems.
What you'll do
- Define research initiatives, survey and assess literature, and design LLM experiments.
- Run transformer training on distributed compute infrastructure and deploy models into production.
- Document and present findings, and track deep learning and LLM advances relevant to products.
What they ask for
- 3+ years of applied deep learning research experience.
- Proven LLM experience, including data curation, distributed large-scale training, transformer optimization, and RL training.
- Strong Python and Pytorch skills, plus experience with transformer architectures.
- Experience with distributed computing, large-scale data processing, and experimental programs to optimize models.
Nice to have
- Understanding of distributed LLM training and inference, and familiarity with RLHF pipelines.
- Published papers in Deep Learning Research, particularly related to LLMs and deep neural networks.
Pay
$150K – $250K USD base salary
Tools
Python, Pytorch, LLMs, transformer architecture, distributed compute infrastructure, RLHF
AI focus
Research, train, optimize, and deploy large language models; use AI tools to automate and amplify work.
Model-written summary · the original posting is authoritative