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公司介紹：運用人工智慧實現精準醫療的尖端， 公司致力於提供病理數位轉型及人工智慧輔助診斷之解決方案，公司宗旨為運用人工智慧實現精準醫療，讓深度學習落實臨床，提升醫療品質與一

- 此工作為遠端全職工作，工作時需可有安靜視訊開會討論的地方。 - 113年度研發替代役也可。 工作內容 - 開發 AI Stable Diffusion/ ControlNet/ 去背景等相關應用 - 開發 AI 照片品質提升演算法 - 開發或導入GPT/ FineTune 等相

We are looking for outstanding computer vision and deep learning engineers to join our fast growing AI team. We expect you to bring your experience, enthusiasm and creativity on deep learning into high-quality and impactful real-world solutions.

About the Company : Established in 2014. Home Security product. Over 15 million people around the world have downloaded this smart home app. ------------------------------------------- ▍Responsibility 1. Develop and implement machine learning models and algorithms for various computer vision applications, such as image classification, object detection, semantic segmentation, image generation, and video analysis. 2. Work closely with computer vision researchers to stay up to date with the latest

[About Company] 機器視覺檢測設備 (B2B) 與世界印刷設備龍頭、電子材料業龍頭 等許多世界級的企業合作，提供自動光學檢測/機器視覺的服務，進行高端新產品開發及各檢測設備機型的銷售。客戶跨足印

1. 開發及維護用於工業檢測產品中的相關演算法。 2. 以 C/C++ 實作開發影像處理程式。 3. 開發及優化辨識演算法，進行影像分析。

世界上沒有一個模型不能解決的問題。 如果有，那就再做一個。 Authme 致力於提供最快速、安全與便利的數位身分驗證服務，身為Authme的電腦視覺工程師，您會和工程團隊的App工程師、前後端工程師們一起

【Job Description】 AICS is a software division of ASUS, with the mission to transform healthcare through AI. The CV team is working on algorithms and tools around practical application of computer vision that powers our AI cloud services. We are looking for software engineers to help solve challenging practical problems while building our products and services. You will be involved in all stages of R&D, including problem definition, AI/ML system design, model training

• Degree or higher in Engineering or Science disciplines (or any degree with courses on pattern recognition and imaging processing) • Good logical thinking and analytical mind • Experience in C/C++ and Windows programming • Have a good command of written and spoken English • Be independent, initiative, performance-driven • Responsible for conducting research and development in computer vision technology, machine learning technology, advanced vision algorithms and applications for machine automat

a. AI inference result processing for robust object recognition, inter-frame association, and tracking b. Scene recognition using AI inference with a statistical basis c. Algorithm writing with efficient, cross-platform code that is capable on edge devices