自动驾驶数据挖掘算法开发实习生（Llm/Vlm方向）-2027届
Tasks
- Abstract and standardize scene mining requirements
- Build reusable scene data mining templates
- Clean filter and label datasets
- Develop intelligent data mining algorithms using multimodal large models
- Evaluate model performance and analyze scene results
- Fine tune LLM and VLM models
- Integrate new algorithms into data mining pipelines
- Optimize training parameters and model adaptation
- Research and apply frontier algorithms
- Write technical documentation and report iteration results
Perks/Benefits
- N/A
Skills/Tech-stack
Accuracy | Algorithm Reproducibility | Computer Vision | Coverage | Data Preprocessing | Data labeling | Dataset cleaning | Deep learning | Engineering integration | Fine Tuning | LLM | Linux | Machine Learning | Model Evaluation | Model Fine-tuning | Model Training | Multimodal Learning | Parameter Tuning | Precisión | Prompt engineering | PyTorch | Python | Recall | TensorFlow | VLM
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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