Research Engineer, LLMs
Tasks
- Build LLM training pipelines
- Deploy LLM systems to production
- Develop evaluation monitoring and iteration tools
- Implement distributed training systems
- Improve latency, throughput, and cost efficiency
- Optimize training and inference performance
Perks/Benefits
- 401k match
- Catered lunch
- Commuter benefits
- Dental insurance
- Dinner stipend
- Health insurance
- PTO
- Vision insurance
Skills/Tech-stack
CUDA | Data loading | Distributed Training | Language Models | Large Language Models | Machine Learning | Multimodal Processing | PyTorch | Triton
Education
N/A
Roles
Regions
Countries
States
Cities
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