Omni模型算法实习生
Tasks
- Analyze experiment results
- Clean multimodal datasets
- Conduct ablation experiments
- Conduct multimodal model technical research
- Develop multimodal model experiments
- Develop training scripts
- Log and troubleshoot training runs
- Measure inference latency and performance
- Perform model fine tuning experiments
- Produce technical research summaries
- Record scenario performance results
- Reproduce multimodal algorithms and compare results
- Run model quantization and distillation experiments
- Run small scale training tasks
- Support cross modal alignment experiments
- Support multimodal generation experiments
- Support preference alignment experiments
- Support pretraining experiments
- Support sequence modeling experiments
- Support streaming multimodal interaction experiments
- Test model and robot perception and cognition modules
- Validate data annotations
- Validate interactive scene functionality
- Write optimization comparison reports
Perks/Benefits
- N/A
Skills/Tech-stack
Ablation Study | Cross-modal alignment | Data Analysis | Data Annotation | Dataset cleaning | Fine Tuning | Inference Optimization | Knowledge Distillation | LLM | Modal Alignment | Model Fine-tuning | Model Quantization | Multimodal Learning | Preference alignment | Pretraining | PyTorch | Python | Sequence Modeling | Streaming processing | Transformer | VLM
Education
Regions
Countries
States
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