天津(Tianjin), Tianjin, China
1 day ago
模型训推开发工程师
General Information Req # WD00082815 Career area: Information Technology Country/Region: China State: Tianjin City: 天津(Tianjin) Date: Thursday, May 15, 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$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

岗位职责:

1. 模型训练与优化:负责大模型的训练、调优及推理性能提升(如延迟、吞吐量、资源占用等),确保模型达到业务需求指标。

2. 数据处理:参与数据清洗、特征工程及数据集构建,支持模型训练与评估。

3. 框架与工具开发:维护和优化数据处理/训练/推理 pipeline,开发自动化工具以提高效率。

4. 性能监控:跟踪线上模型表现,分析并修复性能瓶颈或异常问题。

5. 技术调研:跟进业界最新技术(如量化、剪枝、蒸馏等),探索模型轻量化与加速方案。

6. 跨团队协作:与算法工程师、后端工程师等合作,推动模型从研发到落地的全流程。

岗位要求:

教育背景:计算机科学、人工智能或相关专业。

技术能力:

- 熟练掌握 Python,熟悉 C++/Shell 等语言加分。

- 熟悉主流深度学习框架(如 PyTorch、TensorFlow、Keras),具备模型训练与调试经验。

- 熟悉模型优化技术(如量化、剪枝、知识蒸馏),了解 ONNX、TensorRT、vllm 等推理加速工具。

- 熟悉数据处理工具(如 Pandas、NumPy、Spark)和特征工程方法。

- 了解分布式训练、推理框架与原理优化。

- 熟悉 Linux 开发环境,掌握 Docker/Kubernetes 等部署工具优先。


经验要求:

- 2年大模型开发与部署经验,有实际生产环境模型落地案例。

- 熟悉模型性能调优,具备高并发或低延迟场景优化经验。


软技能:

-良好的逻辑思维和问题解决能力,能独立完成技术方案设计与实现。

- 较强的沟通能力,能与算法、运维团队高效协作。

- 持续学习意愿,能快速跟进 AI 领域新技术。

加分项:参与过开源项目,有专利或在顶会发表相关论文。


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