Job Summary

• Participate in the design, development, and optimization of parking perception models, building efficient and accurate perception models based on deep learning frameworks to achieve precise recognition and positioning of the vehicle's surrounding environment (including parking spaces, obstacles, pedestrians, etc.).
• Responsible for data processing and analysis, collecting and annotating parking-related data, preprocessing and enhancing data to improve model training effects, deeply analyzing model performance indicators, and optimizing model structure and training strategies based on actual situations.
• Track cutting-edge technologies, research and introduce new algorithms and technologies to improve the performance and competitiveness of parking perception models, and participate in team technical exchanges and sharing to promote the overall technical level of the team.

Matching Summary

Skills & Requirements

Key Requirements

• Master's/PhD student
• familiar with mainstream deep learning algorithms
• proficient in algorithm research
• understanding of data structures and algorithms

Work Rights