Omni模型算法实习生
Tasks
- Benchmark inference latency and performance
- Clean and validate multimodal datasets
- Conduct technology research and write reports
- Develop multimodal unified representations
- Develop training pipeline scripts
- Integrate multimodal perception cognition modules
- Perform model tuning and ablation studies
- Record training logs and debug training issues
- Run joint system integration tests
- Run multimodal experiments and compare results
- Support cross modal alignment experiments
- Support model quantization and distillation experiments
- Validate interactive robot scenarios
- Write optimization comparison documents
Perks/Benefits
- N/A
Skills/Tech-stack
Cross-modal alignment | Data Analysis | Inference benchmarking | Knowledge Distillation | Language Model | Large Language Model | Modal Alignment | Model Quantization | Multimodal Generation | Preference alignment | PyTorch | Python | Series modeling | Streaming Interaction | Time Series | Time Series Modeling | Transformer | Vision Language Model | Vision-language
Education
Regions
Countries
States
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