Key Responsibilities 1. Support model training and deployment through data drive to ensure the efficient iteration of the company's business algorithms; 2. Design mining solutions for different modal data (such as text, vision, radio waves, etc.), and implement them through rules and models; 3. Analyze the difficult sample data in AI model inference, and improve it from the aspects of data and training strategies; 4. Explore the cutting-edge data processing technologies in the industry and apply them to practical problem scenarios. Job Requirements： 1. Bachelor degree or above, major in computer, electronics, mathematics, physics or other related majors; 2. More than 2 years of experience in engineering R & D or infrastructure, proficient in one development language such as Python, C/C++; 3. Familiar with deep learning frameworks such as Pytorch/TensorFlow, and those with algorithm R & D experience are preferred; 4. Good communication and cooperation skills, proactive at work and strong sense of team; 5. Those with experience in large-scale data processing and familiarity with big data processing tools are preferred.