端侧交互与感知 Ai 算法实习生（深圳 / 宁波）
Tasks
- Apply model distillation
- Apply model pruning
- Apply model quantization
- Build multimodal interaction systems
- Compress and accelerate models
- Deploy models on mobile devices
- Develop depth estimation models
- Develop eye tracking algorithms
- Develop gesture recognition algorithms
- Develop image generation models
- Evaluate model performance
- Optimize inference performance
- Optimize model structure
- Research generative models
- Research multimodal models
- Research reinforcement learning for edge deployment
- Train models on real business data
Perks/Benefits
- N/A
Skills/Tech-stack
Android | Computer Vision | Core ML | Executorch | Generative Modeling | IOS | Inference Optimization | Machine Learning | Model Compression | Model Distillation | Model Pruning | Model Quantization | Multimodal Learning | NCNN | Neural Network | ONNX | PyTorch | QNN | Qualcomm Neural Network | Reinforcement Learning | TFLite | TensorFlow
Education
N/A
Roles
AI | AI Research Intern | Intern | Learning Intern | Machine Learning Intern | Research Intern
Regions
Countries
States
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