Machine Learning Intern (Singapore)
Tasks
- Adapt models for analog compute in memory hardware compatibility performance power efficiency
- Build AI model deployment frameworks APIs and runtime components
- Collaborate on hardware software co design and system validation
- Conduct code reviews enforce software quality standards
- Design machine learning efficiency tools quantization pruning graph optimization memory reduction
- Develop Python and C++ software for neural network model deployment
- Evaluate machine learning models algorithms and deployment techniques
- Optimize neural network model compression and conversion
- Perform software design implementation debugging testing and performance profiling
- Troubleshoot model conversion pipelines runtime environments and hardware acceleration frameworks
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Algorithms | Analog AI | C++ | Compute-in-memory | Continuous integration | Data Structures | Debugging | Edge AI | Embedded Systems | Graph optimization | In-memory) | Machine Learning | Model Compression | Neural Networks | Performance Profiling | Pruning | PyTorch | Python | Quantization | Runtime environments | Software Architecture | TensorFlow | Testing
Education
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