[AI Research Div.] Research Engineer - Foundation Models (2년 이상 / 계약직)
Tasks
- Build reproducible repeatable experiment environment
- Design and implement end to end pipeline for large language model and multimodal foundation model training evaluation inference deployment
- Diagnose and resolve training instability convergence failure distributed system errors data bottlenecks evaluation mismatch
- Implement training algorithms data construction optimization strategy evaluation methodology
- Integrate new model architecture training technique optimization technique into existing codebase and validate experimentally
- Lead experiment design implementation execution analysis documentation
- Perform quantitative analysis on model performance training efficiency system efficiency evaluation results
Perks/Benefits
- N/A
Skills/Tech-stack
Checkpointing | Communication optimization | Data loading | Data parallelism | Deep learning | Distributed Training | Evaluation methodology | Experiment automation | Foundation Models | Inference | Language Models | Large Language Models | Machine Learning | Memory Optimization | Model Parallelism | Multimodal Learning | Optimization Algorithms | Pipeline parallelism
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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