Algorithm Expert

📋 Description

• Lead the architecture design, implementation, and optimization of next-generation End-to-End
• Develop and implement E2E algorithm solutions based on cutting-edge generative technologies
• Spearhead model inference acceleration and performance optimization. Drive model lightweighting
• Participate in the development of automated data pipelines and establish robust model evaluation
• Collaborate closely with system architects and embedded engineering teams to ensure seamless model
• Stay at the bleeding edge of large-scale models and reinforcement learning (RL). Explore the

🎯 Requirements

• Master's degree or PhD in Computer Science, Artificial Intelligence, Information Engineering
• 3+ years of hands-on experience in deep learning algorithm development, preferably within the
• A strong publication record in top-tier AI/CV conferences (CVPR, ICCV, NeurIPS, etc.) or proven
• Proficient in Python and C++, with extensive practical experience in deep learning frameworks such
• Deep understanding of mainstream algorithms in perception, prediction, and planning/control
• Solid grasp of Imitation Learning (IL) and Reinforcement Learning (RL) principles