多模态大模型算法工程师
Tasks
- Automate data annotation
- Build data model iteration loop
- Build multimodal data engine
- Conduct data deep mining
- Design multimodal training data lifecycle management
- Develop synthetic data generation
- Evaluate model capability
- Execute data cleaning deduplication filtering
- Fine-tune multimodal models
- Implement RLHF preference alignment data pipeline
- Implement scaling law data evolution research
- Lead SFT instruction fine tuning data pipeline
- Lead pretraining data pipeline
- Optimize data throughput and loading
- Perform data attribution analysis
- Perform multimodal data collection
- Reproduce frontier research
- Run data ablation analysis
- Support distributed training for large models
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Computer Vision | Data Annotation | Data Deduplication | Data Filtering | Data Preprocessing | Data cleaning | Deep learning | Distributed Training | Fine Tuning | Git | Human Feedback | Language Processing | Learning from Human Feedback | Model Fine-tuning | Multimodal Learning | Natural Language | Natural Language Processing | Pretraining | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Scaling Laws | Shell | Supervised Fine Tuning | Synthetic data
Education
N/A
Roles
AI | AI Algorithm Engineer | AI Engineer | Algorithm Engineer | Engineer | Multimodal AI Engineer
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