[AI Research Div.] Foundation Model Evaluation Engineer - 독자 AI 파운데이션 모델 (2년 이상 / 인턴)
Tasks
- Collaborate with data and model teams on improvements
- Define model evaluation targets
- Design contamination resistant benchmarks
- Develop evaluation pipelines and centralized reporting
- Diagnose foundation models and support technical decisions
- Write and publish research in top conferences
Perks/Benefits
- N/A
Skills/Tech-stack
Data Contamination | Deep learning | Distributed Computing | Evaluation & benchmarking | LLM Evaluation | Language Processing | Machine Learning | Natural Language | Natural Language Processing | PyTorch | Python
Education
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