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Open nowPosted 226 days ago

AI工程师

hellotalk/index47 open roles

Where
Shenzhen, Guangdong, Chinese Mainland
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Your applicationOpen nowAI工程师hellotalk/index · Shenzhen, Guangdong, Chinese Mainland
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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 226 days ago

The posting

1、参与多模态内容生成、个性化学习推荐、智能对话系统 等核心AI能力的研发与落地; 2、结合大语言模型(LLM)优化用户体验,提升学习效果; 3、跟踪前沿论文,快速验证并转化为产品功能。 4、打造内部AI提效工具(代码生成、文档智能、数据自动化等),帮助工程师、运营、产品同事“偷懒”; 5、搭建AI基础设施,降低业务方使用AI的门槛,让AI能力在公司内普及; 6、组织技术分享、推动最佳实践,把一个人的能力变成一群人的能力。

我们希望你: 1、技术过硬:扎实的Python功底,熟悉至少一种深度学习框架(PyTorch / TensorFlow); 2、紧跟前沿:对LLM、RAG、多模态、AIGC等有热情,有自己的实践或思考; 3、工程落地:不满足于跑通demo,愿意为线上效果负责,关注性能、成本、稳定性; 4、工具思维:习惯思考“如何让重复劳动自动化”,能快速搭建实用的小工具; 5、赋能导向:乐于分享、善于沟通,能抽象业务问题,输出可复用的AI能力; 6、学习极快:AI日新月异,我们希望你保持好奇,快速上手新东西,并带动大家一起学。

加分项(有就更棒了) 1、有构建内部工具、自动化平台或低代码平台的经验; 2、在技术社区有影响力(开源贡献、技术博客、高质量分享); 3、有 NLP / 多模态 / 推荐系统 项目经验,且不止于算法,还关心工程落地; 4、熟悉 LangChain、LlamaIndex、vLLM 等LLM应用工具链;

你会获得 1、双重成就感:你的模型能服务千万级用户,你的工具能提升整个团队的效率; 2、技术氛围:和大厂背景的队友一起,技术脑暴; 3、成长空间:不设限、不官僚,你可以 lead 项目、带方向,也可以推动内部AI文化建设; 4、硬件自由:最新Mac、GPU资源管够,想试就试; 5、年轻文化:开放、真诚、互助,只对用户和价值负责。

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