多模态大模型算法工程师
Tasks
- Build RLHF data pipeline
- Build SFT data pipeline
- Build multimodal pretraining data pipeline
- Conduct data mining
- Create automated data labeling
- Deduplicate multimodal data
- Design PB scale multimodal dataset management
- Establish data model training evaluation loop
- Evaluate model capability
- Fine-tune multimodal models
- Generate synthetic data
- Implement multimodal data collection
- Implement scaling law data improvements
- Optimize data throughput and loading
- Perform data attribution analysis
- Perform multimodal data cleaning
- Run data ablation analysis
- Support large-scale distributed training
- Track and reproduce frontier research
Perks/Benefits
- N/A
Skills/Tech-stack
Computer Vision | Data Augmentation | Data Deduplication | Data Mining | Data Preprocessing | Data cleaning | Data labeling | Deep learning | Distributed Training | Fine Tuning | Git | Language Processing | Model Evaluation | Model Fine-tuning | Multimodal Learning | Natural Language | Natural Language Processing | PyTorch | Python | Scaling Law | Shell | Synthetic data
Education
N/A
Roles
AI | AI Algorithm Engineer | AI Engineer | Algorithm Engineer | Engineer | Multimodal AI Engineer
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