About this role
Work on generative AI language and multi-modal model algorithm development including transformer-based, RNN and SSM architectures, AI vision/voice/NLP, edge AI (APU) algorithm optimization, neural network optimization (quantization/pruning/low-bit), neural network design automation, and advanced algorithms like reinforcement learning and on-device learning. Required knowledge includes strong understanding of AI models (especially transformers and LLMs), familiarity with on-device frameworks such as TFLite and ExecuTorch, and programming in Python, PyTorch, C/C++.
Skills for this role
Generative AIMultimodal modelsTransformer-based architecturesLLaMaRNNSSM (State Space Models)Linear AttentionMambaComputer VisionVoice AINatural Language Processing (NLP)Edge AIAPU (AI Processing Unit)Neural network optimizationQuantizationPruningLow-bit techniquesNeural network design automationReinforcement LearningOn-device learningTensorFlow Lite (TFLite)ExecuTorchPythonPyTorchCC++