【27届校招】Omni模型算法工程师/研究员
Tasks
- Build multimodal data pipelines
- Conduct model compression quantization and distillation
- Deploy models on edge and heterogeneous platforms
- Develop cross modal alignment and fusion algorithms
- Evaluate model performance and stability
- Integrate models with robot perception and decision systems
- Optimize inference and reduce latency
- Research multimodal foundation models
- Train and fine-tune large language models
Perks/Benefits
- N/A
Skills/Tech-stack
Data Engineering | Data Quality | Data quality assessment | Distributed Training | Edge Deployment | Inference acceleration | Instruction Tuning | Knowledge Distillation | Language Models | Large Language Models | Model Compression | Model Training | Multimodal Learning | Preference alignment | PyTorch | Python | Quality Assessment | Quantization | Real Time | Real-time Processing | Reinforcement Learning | Speech Recognition | Time processing | Transformer | Video Understanding | Vision Language Models | Vision-language
Education
Regions
Countries
States
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