多模态大模型应用算法工程师-Data AML
Core
Develop and optimize multimodal large language models for edge-side business tasks, focusing on data processing, model adaptation, and solution design.
Role type
Multimodal Large Model Application Algorithm Engineer
Builds
Optimized multimodal models for edge-side business applications
Domain
Artificial Intelligence / Multimodal Learning / Edge Computing
Deliverable
production ML models
Required skills
Python, C++, Deep Learning, PyTorch, TensorFlow, Transformer architectures, Multimodal algorithms, Data cleaning and visualization, SFT, RL
Preferred skills
NLP, Computer Vision, Embodied AI, Edge device adaptation
Responsibilities
Collaborate with business stakeholders to define requirements and propose multimodal solutions; Collect, clean, organize, and visualize multimodal data to ensure quality; Optimize models for edge-side tasks using Post-Train techniques (SFT, RL); Research and track cutting-edge technologies in NLP, CV, multimodal, and embodied AI.
