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Engineer, Algorithm

Lenovo

Lenovo

Tianjin, China
Posted on Oct 29, 2025

General Information

Req #
WD00090234
Career area:
Artificial Intelligence
Country/Region:
China
State:
Tianjin
City:
天津(Tianjin)
Date:
Wednesday, October 29, 2025
Working time:
Full-time
Additional Locations:
* China - Tianjin - 天津(Tianjin)

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$69 billion revenue global technology powerhouse, ranked #196 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

岗位职责

  1. LLM/NLP模型开发与优化
    • 参与LLM的领域适应与指令微调,运用Prompt工程、SFTRLHF等技术提升任务表现。
    • 负责NLP基础任务(如文本分类、命名实体识别、情感分析、信息抽取等)的模型研发与迭代,熟练运用BERTRoBERTaT5等预训练模型。
  2. 工程落地与系统集成
    • 探索RAGWorkflowMulti-Agent等技术栈,与产品、业务团队合作,分析需求并制定技术解决方案。
    • 构建和部署高可用AI服务,熟悉Docker容器化技术及API封装,将算法服务集成至联想AI产品与应用中。
    • 监控并优化模型线上服务的表现、性能、延迟与成本。
  3. 技术创新与前瞻研究
    • 跟踪业界最新技术动态,快速搭建原型并评估其在业务中的应用潜力。
  4. 跨团队协同与需求沟通
    • 与产品经理、业务部门及客户高效对接,准确理解非技术性需求,并将其转化为可执行的技术方案。
    • 清晰阐述解决方案及其商业价值,为业务决策提供坚实依据。

岗位要求

  • 学历背景:计算机科学、人工智能、大数据或相关领域本科及以上学历。
  • 技术能力
    • 扎实的编程基础,熟练使用Python,掌握SQL及常见数据处理工具。
    • 熟悉至少一种主流深度学习框架(如TensorFlowPyTorchKeras),能够独立完成模型训练与部署。
    • 深入理解TransformerMoELLM架构及核心原理。
    • 具备LLM实践经验,在RAGAgent开发、模型优化微调等一个或多个领域有实际项目或深入研究。
  • 加分项
    • 对多模态学习有浓厚兴趣或项目经验,了解视觉与语言模型的融合技术。
  • 个人特质
    • 出色的分析问题和解决问题的能力,具备端到端交付能力。
    • 强烈的求知欲、自驱力和优秀的技术学习能力。
    • 良好的团队沟通和协作精神。

Additional Locations:
* China - Tianjin - 天津(Tianjin)
* China
* China - Tianjin
* China - Tianjin - 天津(Tianjin)