General Information

Req #
WD00077137
Career area:
Information Technology
Country/Region:
China
State:
Beijing
City:
北京（Beijing）
Date:
Wednesday, March 5, 2025
Working time:
Full-time
Additional Locations: 
* China - Beijing - 北京（Beijing）

Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers. 

Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). 

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

Lenovo xCloud，是基于联想20余年全球IT与业务运营的实践而“内生外化“出的智能云解决方案。以混合云基础架构为坚实依托，围绕人工智能展开了全方位且深层次的方案升级；涵盖AI技术平台、混合云平台、智算中心、臻算服务四大组成部分，助力客户云上业务高效稳定运行，并为企业AI Twin(人工智能双胞胎)架构成功落地保驾护航。

岗位职责：

  1. 负责联想AI技术平台，尤其是模型开发平台的产品规划、技术设计；
  2. 能够从用户视角指导产品设计，并参与核心算法模块的设计的开发，推动产品落地； 
  3. 负责联想混合云运维智能化场景的落地，参与需求分析、算法设计、算法落地、持续效果追踪与算法迭代改进工作； 
  4. 紧跟前沿趋势，能清晰规划大模型开发和应用方向的技术路线和团队布局；
  5. 提供架构、稳定性、在线服务的工程支持。

岗位要求

  1. 教育背景：计算机科学、软件工程、人工智能或相关专业的硕士或博士学位；发表过高水平论文/优质技术博客，或活跃参与知名开源项目者优先； 
  2. 算法技术：熟悉高质量数据建设，解决过数据生产过程中的疑难问题，熟悉NLP领域，掌握语言大模型训练的常见技术，如指令微调、偏好对齐、Lora、RL算法（PPO、DPO等），重视算法质量评测，对 bad case 敏锐并善于归因，有过自动化评测或评测提效的项目经历加分，了解训练和推理性能优化的常见知识； 
  3. 业务交付：能够对业务问题进行分析拆解建模，综合应用机器学习、传统NLP算法和大模型技术提升效果，负责落地过问答、RAG、总结摘要、信息抽取、数据分析、agent调优等方面的项目加分； 
  4. 基础素质: 逻辑严谨并能清晰阐述自己的思考；深入掌握代码的关键细节；对最新技术有强烈学习欲。

Additional Locations: 
* China - Beijing - 北京（Beijing）
* China
* China - Beijing
* China - Beijing - 北京（Beijing）
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