Omni模型算法实习生
Tasks
- Analyze latency and performance across hardware
- Assist multimodal model research
- Conduct multimodal alignment experiments
- Develop training scripts for pretraining finetuning preference alignment
- Produce technical research summaries and documentation
- Record training logs and debug training failures
- Run model quantization distillation and inference speed experiments
- Support robot perception and cognition integration testing
- Support training data cleaning and validation
- Validate interaction scenario features and document results
- Write standardized experiment reports
Perks/Benefits
- N/A
Skills/Tech-stack
Data Analysis | Data Label Validation | Data cleaning | Distributed Training | Finetuning | Inference Optimization | Knowledge Distillation | LLM | Label Validation | Model Quantization | Multimodal Alignment | Multimodal Generation | Preference alignment | Pretraining | PyTorch | Python | Real Time | Real-time Video | Real-time video processing | Robotics | Series modeling | Speech Processing | Streaming Interaction | Time Series | Time Series Modeling | Transformer | VLM | Video Processing
Education
Roles
AI | AI Research Intern | Intern | Learning Intern | Machine Learning Intern | Research Intern
Regions
Countries
States
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