Job Description

• Develop and deploy advanced vision and learning algorithms to solve industrial problems.
• Provide research consultancy on applied projects: determine the scope of the problem, the best place to apply machine learning, and evaluate different approaches. 
• Interface with product teams to identify potential new problem areas for future projects. 
• Experience in analyzing and extracting valuable information from million-scale business data
• Plan and execute cutting-edge research with focuses on object detection, image classification, and image retrievals.
• Report and present experimental results and research findings clearly and efficiently, both internally and externally.

Requirements

Knowledge Must have: • Proven knowledge in deep learning. Nice to have: • Solid background in machine learning. Implement Experience Must have: • Python or C++ and with a desire to learn more. • Experiences in developing computer vision algorithms. • Experiences in developing algorithms in Linux environment. Nice to have: • Experiences in using TensorFlow, PyTorch and / or Caffe (or related tools). Research Experiences Must have: • Experiences in computer vision. Nice to have: • Experiences in deep learning. Best to have: • Have deep learning related publications related to network architecture or computer vision.

Salary

60K ~ 100K TWD/month

Location

台北

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Viscovery 創意引晴股份有限公司

台北市松山區南京東路五段92號11F

About us

Viscovery (Visual Discovery) 成立於2013年,專注電腦視覺與深度學習的「VisionAI」技術,協助各垂直領域的領頭羊企業導入各式 AI 解決方案,是亞洲視覺辨識技術與影音大數據的領航公司。 Viscovery 透過自行開發專利算法,自動分析並標籤大量的圖片與影片,將圖片與影片中視覺內容轉化成結構化、多維度、含有高度商業價值的 Visual Big Data (視覺大數據)。至今已累積超過千萬級別商品資料庫,完成超過億次等級自動標籤辨識請求,同時實現毫秒級別的辨識速度與精準度。VisionAI 服務廣泛應用於電子商務、智慧零售、媒體廣告、工業4.0等領域。「電子商務」應用有商品辨識、以圖搜圖、個人化推薦、快速回購、客戶服務等;「智慧零售」則含括人臉辨識、商品辨識、互動廣告、和自助結賬等;「視頻媒體」則運用於內容推薦、自動標籤、片庫管理、智慧剪輯、和內容過濾等;「工業4.0」應用在機器人協作、AR工具協作、廠區監控、和品質控管等。Viscovery 亦提供各式客製化的視覺辨識服務,為客戶打造隱密和適用的專屬辨識引擎。 Viscovery 研發中心設立於台北,由海外和台灣人工智慧、電腦視覺、深度學習、大數據領域的學術工程專家組成,並與美國頂尖大學AI實驗室進行產學合作。我們誠摯邀請同樣富有熱情、創造力、與專業力的夥伴加入,一同實踐立足亞太、放眼全球的技術願景與抱負!(www.viscovery.com)

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Team

許雅婷

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