【27届校招】Omni模型算法工程师/研究员
Tasks
- Accelerate inference for low latency
- Apply model compression quantization distillation
- Build multimodal representation and reasoning
- Build next generation intelligent agent systems
- Construct and evaluate multimodal datasets
- Deploy models on edge devices
- Develop multimodal alignment and fusion
- Integrate models with robot perception cognition and control
- Optimize training efficiency and stability
- Perform reinforcement learning for model optimization
- Research multimodal foundation models
- Run instruction tuning and preference alignment
- Train and fine-tune large language models
Perks/Benefits
- N/A
Skills/Tech-stack
Data Engineering | Distributed Training | Inference acceleration | Instruction Tuning | Knowledge Distillation | Language Model | Large Language Model | Model Compression | Multimodal Learning | Preference alignment | PyTorch | Python | Quantization | Real Time | Real-time Processing | Reinforcement Learning | Speech Recognition | Time processing | Transformer | Vision Language Model | Vision-language
Education
N/A
Regions
Countries
States
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