Research Staff, LLMs
Deepgram · Remote · USA - Remote · San Francisco, CA · Ann Arbor, Michigan ·
COMPENSATION
$150k – $250k
Listed on the employer's job board (Ashby)
- Fully remote
- LLM Research
- Python + PyTorch
- Distributed Training
- Senior Level
Join Deepgram's Research Staff to tackle fundamental challenges in voice AI and large language models. You will define new research initiatives, conduct experimental programs, and optimize transformer architectures for production use. The team focuses on overcoming data scarcity and computational costs in audio processing through novel AI paradigms.
What you'll do
- Collaborate with research staff to define new LLM initiatives
- Survey literature to evaluate and distill current methods
- Design and execute experimental programs for large language models
- Manage transformer training jobs on distributed compute infrastructure
- Deploy new models into production environments
- Document and present complex technical results clearly
- Monitor advances in deep learning for product applications
What you'll need
- 3+ years in applied deep learning research
- Proven experience with LLMs and data curation
- Expertise in distributed large-scale training
- Strong coding skills in Python and PyTorch
- Experience with various transformer architectures
- Background in distributed computing and data processing
- Track record of using experiments to optimize models
Nice to have
- Deep understanding of causal LMs and architecture
- Knowledge of distributed inference schemes
- Familiarity with RLHF labeling and training pipelines
- Up-to-date knowledge of recent LLM techniques
- Published papers in Deep Learning Research
Stack
- Python
- PyTorch
- Transformers
- LLMs
- Distributed Computing
How you'll work
- Fully remote position
- AI-first operational mindset required
- Fast-paced environment with rapid changes
- Expectation to actively use advanced AI tools