Job Description

Job Desciption

  • Design and develop state-of-the-art computer vision for real-world recycling production line, object detection and classification, object tracking, and activity recognition.
  • Build and maintain the infrastructure for training and deploying models, including data pipelines, experiment management platform, visualization tools, etc.


Key Qualifications

  • Strong experience in image analysis, computer vision, machine learning, and deep learning (e.g. object detection and tracking, multi-camera vision/systems, etc.) with a solid understanding of underlying technologies.
  • Experience in the successful implementation of deep learning algorithms to real-world applications.
  • Experience working in Linux or UNIX operating systems.
  • Proven ability to effectively manage timelines and deliverables.
  • Passion for quality, performance, and reliability.
  • Excellent teamwork, communication skills, and critical thinking.
  • The Start-Up mentality.

What Will Put You Ahead

  • Experience in Industry 4.0 or production Robots.


1.1M ~ 1.3M TWD/year

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About us

Who are we --

協治企業為深耕台灣的回收業者,成立於1985年至今已35年,不斷致力於精進塑膠回收分類技術。我們認為,分選是一門技術,如何sort out the value將會是未來循環經濟及落實環境永續中相當重要的一環。

  • 全台最具規模之塑膠容器回收業者,每月平均回收量約3000噸占全台灣10%,且持續成長中
  • 2011年為全台第一家率先導入光選分選設備的回收業者
  • 積極與國內機械廠商合作開發分選設備
  • 2011至2019年間合計陸續設計並安裝整廠分選系統共6廠
  • 2018年成為國內受補貼處理業,處理清洗分選後回收物,提高其附加價值
  • 累積經驗,致力打造有別於現有回收產業的分選技術與工作環境



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