多模态大模型算法工程师
Tasks
- Analyze bad cases and improve data quality
- Build multimodal data engine
- Design PB scale multimodal dataset lifecycle management
- Develop data model training evaluation loop
- Evaluate model capabilities
- Fine-tune multimodal models
- Implement synthetic data generation techniques
- Lead multimodal pre training SFT RLHF data pipelines
- Optimize data throughput and loading
- Perform data ablation and attribution analysis
- Replicate frontier scaling law research
Perks/Benefits
- N/A
Skills/Tech-stack
Ablation Study | Agile | Computer Vision | Data Annotation | Data Deduplication | Data Filtering | Data Preprocessing | Data evaluation | Deep learning | Distributed Training | Fine Tuning | Git | Language Processing | Model Fine-tuning | Multimodal Learning | Natural Language | Natural Language Processing | Pretraining | PyTorch | Python | RLHF | SFT | Scaling Law | Shell | Synthetic data
Education
N/A
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