基本信息

职位编号:
100017540
工作领域:
Artificial Intelligence
国家/地区:
中国
省:
北京
市:
北京（Beijing）
日期:
星期二, 8 月 25, 2026
其他工作城市: 
* China - Tianjin

为什么选择联想

联想文化，我们称之为 “We Are Lenovo”（我们，就是联想），其核心是：“说到做到，尽心尽力，成就客户”。

联想集团是一家年收入830亿美元的全球化科技巨头，位列《财富》世界500强第153名，服务遍布全球180个市场数以百万计的客户。为实现“智能，为每一个可能” 的公司愿景，联想在不断夯实全球个人电脑市场冠军地位的基础上，积极构建全栈式的计算能力，现已拥有包括人工智能赋能、人工智能导向和人工智能优化的终端、基础设施、软件、解决方案和服务在内的完整产品路线图，包括个人电脑、工作站、智能手机、平板电脑等终端产品，服务器、存储、边缘计算、高性能计算以及软件定义等基础设施产品。这一变革与联想改变世界的创新一起，共同为世界各地的人们成就一个更加包容、值得信赖的智慧未来。联想集团有限公司在香港交易所上市（港交所：992）（美国预托证券代号：LNVGY）。

欢迎访问联想官方网站 https://www.lenovo.com，并关注“联想集团”微博及微信公众号等社交媒体官方账号，或关注“联想招聘”公众号，获取联想最新动态。

职位描述和要求:

Position Overview
•Responsible for the research, optimization, and deployment of core algorithms in the field of computer vision, with a focus on technological breakthroughs in pattern recognition and deep learning.
•Integrate technologies such as 3D vision and multimodal large-scale models to support innovation and real-world implementation across business scenarios.
•Develop efficient and robust algorithmic solutions, driving the translation of technical research into practical outcomes.
Responsibilities
•Deeply engage in pattern recognition, computer vision, traditional machine learning, and modern deep learning; take ownership of the design, development, debugging, and iterative optimization of core algorithms, ensuring accuracy, efficiency, and robustness.
•Lead or participate in projects involving classifier design, semantic segmentation, 3D vision, measurement operator development, and robustness analysis, driving the full lifecycle from algorithm design and model training to production deployment.
•Explore the application of generative models, multimodal large-scale models, and agent technologies in computer vision scenarios; conduct technical pre-research and innovative practices to solve complex real-world business challenges.
•Build algorithm development, testing, and validation environments using tools such as Python, OpenCV, and PyTorch; complete algorithm prototyping, performance evaluation, and iterative improvement.
•Track the latest research from top-tier conferences including ICCV, CVPR, ICML, ICLR, and NeurIPS; translate cutting-edge research into business applications and continuously enhance the team’s technical capabilities.
Qualifications
•Education: PhD degree in Computer Science, Automation, Electronic Engineering, Artificial Intelligence, or a related field, with a solid theoretical foundation.
•Programming Skills: Expert-level proficiency in Python; familiarity with Linux development, debugging, and deployment; strong hands-on experience with OpenCV and PyTorch for model construction, training, and optimization.
•Algorithm Expertise: Strong background in pattern recognition, computer vision, traditional machine learning, and modern deep learning.
•Project Experience: At least 5 years of hands-on experience applying classifier design, semantic segmentation, 3D vision, measurement operators, robustness analysis, generative models, and multimodal large models in real-world projects.
•Research Achievements: Publications at top-tier conferences such as ICCV, CVPR, ICML, ICLR, or NeurIPS; first-author or corresponding-author papers are preferred.

其他工作城市: 
* China - Tianjin
* China - Tianjin
* China
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