Job Description
- Generative AI: Language/Multi-modal Model Algorithm Development
- Transformer-based architecture (LLaMa etc.)
- RNN and SSM-based architecture (Mamba etc.)
- AI Vison/Voice/NLP/Algorithm/Video Development
- Edge AI (NPU) Algorithm Development and Optimization for GAI
- Neural network optimization (Quantization/Pruning/Speculative Decoding)
- Neural network design optimization
- Platform-friendly algorithm modification
- Advanced AI Algorithm Development
- Generative AI model exploration
- Neural network optimization
- Neural network design automation
- Self-supervised/unsupervised learning
- Continuous learning
Requirement
- Familiar with deep learning framework: Pytorch.
- Familiar with on-device framework for mobile/embedding devices: TFLite, ExecuTorch
- Required programming language: Python, C/C++, Java.
- 2+ years experience in deep learning and generative AI algorithm/model development/optimization, model training methodology.
- It is nice to have experience in developing deep learning and generative AI algorithms for mobile/embedding devices.