D
$150,000 – $250,000
Listed on Deepgram’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Deepgram seeks an experienced researcher to advance large language model architectures and training at scale, focusing on solving fundamental challenges in voice AI. This role suits researchers with deep expertise in transformers, distributed training, and LLM optimization who thrive in fast-moving environments and want to apply cutting-edge techniques to production systems.
Our summary, not Deepgram’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 3+ years of applied deep learning research experience
- Proven experience with LLMs including data curation and distributed training
- Python and PyTorch proficiency
- Experience with transformer architectures (auto-regressive, sequence-to-sequence)
- Distributed computing and large-scale data processing experience
- Ability to design and conduct experimental programs
Nice to have
- Deep understanding of transformer and causal LM architectures
- Knowledge of distributed training and inference schemes for LLMs
- RLHF labeling and training pipeline experience
- Current knowledge of recent LLM techniques
- Published papers in deep learning research related to LLMs