算法工程师
Lenovo
算法工程师
**General Information**
Req #
WD00084592
Career area:
Hardware Engineering
Country/Region:
China
State:
Beijing
City:
北京(Beijing)
Date:
Friday, June 27, 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 ourStoryHub (https://news.lenovo.com/) .
**Description and Requirements**
**岗位职责**
**1.** **负责大模型训练调优与推理加速,包括预训练、微调(LoRA/QLoRA)、量化部署等全流程工作**
**2.** **构建高性能RAG系统,优化混合检索、知识增强、长上下文建模等关键技术**
**3.** **研发LLM驱动的智能体系统,设计感知、规划、记忆、工具调用等核心模块**
**4.** **开发多模态融合算法,实现文本/音频/图像/视频等跨模态内容理解与生成**
**5.** **探索前沿技术在实际业务中的创新应用**
**岗位要求**
**1.** **本科及以上学历,计算机/人工智能相关专业,3年以上算法研发经验,精通Python/C++**
**2.** **具备以下核心技术能力(至少1项):**
**o** **大模型技术:熟悉LLM训练调优(DeepSpeed/Megatron)、微调(SFT/RLHF/DPO)及推理优化(vLLM/TensorRT)**
**o** **RAG系统:精通向量检索(FAISS/Milvus)、混合搜索、排序优化及知识增强技术**
**o** **Agent开发:熟悉LangChain等框架,具备意图识别、任务规划等模块开发经验**
**o** **多模态算法:掌握跨模态对齐、对比学习等技术,至少精通两个模态领域**
**3.** **熟悉PyTorch/TensorFlow框架,具备分布式训练和模型优化经验**
**4.** **优秀的算法实现能力和技术创新意识,能推动技术方案落地**
**Additional Locations** :
* China - Beijing - 北京(Beijing)
* China
* China - Beijing
* China - Beijing - 北京(Beijing)
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