多模态理解算法实习生
Tasks
- Analyze multimodal model capability limits
- Build high quality training data for foundation models
- Build video understanding datasets for human behavior event recognition video caption temporal grounding
- Construct multimodal data pipelines
- Develop embodied understanding models for physical world
- Improve model perception and cognition in visual localization
- Label chain of thought reasoning and build evaluation sets
- Support long horizon behavior and task decomposition
- Synthesize clean annotate format and evaluate text image video and action data
Perks/Benefits
- N/A
Skills/Tech-stack
Chain-of-Thought | Computer Vision | Data Annotation | Data cleaning | Data pipeline | Deep learning | DeepSpeed | Distributed Training | Evaluation | Fine Tuning | Language Processing | Megatron | Model Training | Multimodal Learning | Natural Language | Natural Language Processing | PyTorch | Python | Reinforcement Learning | Spatial understanding | Temporal Grounding | Video Understanding | Video captioning
Education
Regions
Countries
States
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