中级算法工程师
Lenovo
中级算法工程师
**General Information**
Req #
WD00085211
Career area:
Hardware Engineering
Country/Region:
China
State:
Sichuan
City:
成都(Chengdu)
Date:
Wednesday, July 9, 2025
Working time:
Full-time
**Additional Locations** :
* China - Sichuan - 成都(Chengdu)
**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、负责零售,客流,店面等图像/视频理解相关AI算法的研究开发;
2、负责销售&渠道业务领域大模型的研究和应用,包括但不限于LLM、SFT、Agent/MultiAgent、ToolLearning、RAG、RLHF等技术探索
3、独立完成数据挖掘、数据分析任务,从海量的用户行为中挖掘出有价值的信息;
4、负责理解业务需求,进行针对性的算法研究和落地,持续提升用户体验。
岗位要求:
1、5年以上工作经验,具有扎实的机器学习基础,计算机视觉、图像处理、模式识别、机器学习等相关专业,数理功底扎实,自学能力强;
2、熟悉Pytorch/TensorFlow/MxNet/Caffe等框架,熟练使用C++/Python编程;
3、有计算机视觉、大模型等相关经验者,熟悉图像识别、语音识别、OCR、多模态其中多个领域者优先;
4、在计算机科学高水平会议和期刊如NIPS、ICML、CVPR、ICCV、ECCV、IJCAI、AAAI、KDD、SIGIR、WWW、ACL、PAMI、IJCV等发表过论文或有竞赛经验者优先。
**Additional Locations** :
* China - Sichuan - 成都(Chengdu)
* China
* China - Sichuan
* China - Sichuan - 成都(Chengdu)
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