-Responsibilities

• Lead cutting-edge AI algorithm research for AI-Agent, including but not limited to deep learning model optimization (e.g., Transformers, GANs, Diffusion Models).
• Design and develop multimodal integration techniques, combining NLP, computer vision, and reinforcement learning to enhance AI-Agent intelligence.
• Explore novel reinforcement learning algorithms (e.g., Q-Learning, PPO) to optimize AI-Agent decision-making capabilities.
• Collaborate with engineering teams to transform research outcomes into deployable prototypes, validating algorithm performance in real-world scenarios.
• Write technical reports and academic papers, stay updated with the latest AI advancements, and drive team innovation.

-Requirements

• PhD in Computer Science, Artificial Intelligence, or related field, or equivalent research experience (e.g., Master’s degree + 3+ years of research experience).
• Proficient in machine learning theory and deep learning frameworks (e.g., PyTorch, TensorFlow), with expertise in model training, optimization, and evaluation.
• Strong mathematical foundation (linear algebra, probability, optimization theory), capable of independently designing and validating algorithms.
• Minimum 3 years of AI research experience; candidates with publications in top-tier conferences (e.g., NeurIPS, ICML, CVPR) or journals preferred.
• Strong teamwork and communication skills, able to write technical documentation in English.

-Salary

• Competitive salary

-Company Advantage

• KaiHong is a leading enterprise in China's OS sector, with immense growth prospects in OS+AI, offering a broad platform for cutting-edge AI research and application.

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