数据多模态算法专家
Tasks
- Build pretraining datasets
- Conduct preference alignment data design
- Design instruction tuning data
- Design multimodal data pipelines
- Develop cross modal alignment strategies
- Develop data quality diagnostics
- Generate synthetic multimodal data
- Implement data deduplication filtering augmentation
- Perform data model joint optimization
- Prioritize high value data samples
- Research weak supervised and self supervised labeling
- Track research trends and apply to business
- Train and evaluate multimodal foundation models
Perks/Benefits
- N/A
Skills/Tech-stack
BLIP | CLIP | Contrastive Learning | Cross-modal alignment | Dask | Data cleaning | Diffusion Models | Docker | Feature extraction | HuggingFace Transformers | Image Text | Image Text Matching | Kubernetes | LLM | LLaVA | MLflow | Masked Learning | Modal Alignment | PyTorch | Python | Qwen-VL | Ray | Representation Learning | Self-Supervised Learning | Self-supervised | Spark | Supervised Learning | Text Retrieval | Text matching | VLM | Video Text Retrieval | Weak Supervised Learning
Education
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