多模态大模型算法工程师（Vlm / 自动驾驶方向）
Tasks
- Build data sets for training and evaluation
- Collaborate with perception prediction planning teams
- Deploy model into autonomous driving systems
- Design data pipeline for data mining and labeling
- Develop multi modal large language model
- Evaluate model performance
- Explore new model paradigms
- Optimize model training workflow
- Optimize multi modal model for autonomous driving
- Perform SFT
Perks/Benefits
- N/A
Skills/Tech-stack
Agent modeling | Autonomous Driving | Autoregressive modeling | BEV | Behavior Modeling | C++ | Data Mining | Data labeling | Decision Making | Deep learning | Diffusion Models | Fine Tuning | Generative Models | HD Map | Language Models | Large Language Models | Machine Learning | Model Evaluation | Multi-Agent | Multi-agent modeling | Object Detection | Pretraining | PyTorch | Python | Self-Supervised Learning | Self-supervised | Semantic Segmentation | Series modeling | Supervised Fine Tuning | Supervised Learning | Time Series | Time Series Modeling | Trajectory Planning | Trajectory Prediction | Video Understanding
Education
Regions
Countries
States
Cities
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