Senior Engineer/Expert in R&D of Large Model Algorithm Application

Responsibilities

1. Responsible for the implementation of large model algorithms in edge computing scenarios 2. Participate in data construction, instruction fine-tuning, preference alignment, and model optimization in project construction 3. Track and investigate cutting-edge technologies of large models and related directions (including but not limited to NLP/CV/multimodal/embodied intelligence) 4. In-depth study of more usage scenarios of models in future life, explore the combination of edge computing and large models, and expand the application scope of models in edge computing.

Qualifications

1. Excellent coding skills, data structure and basic algorithm skills, familiar with deep learning frameworks such as Pytorch 2. Practical project experience in natural language processing, computer vision, video understanding, reinforcement learning and other fields is preferred 3. In the field of large models, those who have led influential projects or papers are preferred 4. Those who have pre-trained models related to NLP, CV, video and their downstream applications are preferred 5. Strong sense of responsibility, proactive, good communication skills and teamwork skills.