Job Description
[What you will do] - Generative AI: language and multi-modal model algorithm development - Transformer-based architecture (LLaMa etc.) - RNN and SSM-based architecture (Mamba, Linear Attention, etc.) - AI vision / voice / NLP algorithm development - Edge AI (APU) algorithm development and optimization - Neural network optimization (quantization / pruning / low-bit techniques) - Neural network design automation - Advanced AI algorithm: reinforcement learning (RL) and on-device learning
Main Requirements and Qualifications
- [Are you the right talent?]
- - Strong understanding of AI models (especially transformer and LLMs) — graph structure, operators and inference behaviour
- -Familiar with on-device frameworks for mobile/embedded devices: TFLite, ExecuTorch
- - Required programming languages: Python, PyTorch, C/C++
- - Knowledge of deep learning and generative AI algorithm/model development, optimization and training methodology preferred
- - Experience developing deep learning and generative AI algorithms for mobile/embedded devices is an advantage