大模型算法工程师（多模态）-校招【27届】
Tasks
- Align preferences using RLHF
- Apply vision instruction tuning for complex reasoning
- Build multimodal large model end to end for automotive scenarios
- Collaborate with product and engineering teams for production deployment
- Conduct cross modal retrieval
- Create multimodal dataset cleaning and instruction construction
- Design effect evaluation and iteration mechanisms
- Develop multimodal understanding and generation system
- Evaluate vehicle condition and diagnostics
- Implement vehicle recognition and configuration understanding
- Optimize model training and inference pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AB Testing | CLIP | Computer Vision | Contrastive Learning | Cross-modal retrieval | DPO | Distributed Training | Document Understanding | Instruction Tuning | Machine Learning | Model Monitoring | Model Quantization | Multimodal CoT | Multimodal Grounding | Multimodal Learning | OCR | Optical character recognition | Prompt engineering | PyTorch | Python | RLHF | TensorRT-LLM | Transformer | VLLM | Video Understanding | Vision Instruction Tuning | Vision SFT
Education
Regions
Countries
States
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