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- 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。 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 等相關題目 - 導入實際手機APP

主要職責: 智慧物流解決方案用AMR(Autonomous Mobile Robot) /AGV( Automated Guided Vehicle)自主導航相關演算法開發與維護 主要任務: A.開發智慧物流解決方案用AMR/AGV自主導航相關演算法 a.物件辨識(Object Recognition) b.同時定位與

• 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

1. Algorithm research and development 2. Documentation 3. Testing 4. Communicate with team member and fulfill software task *彈性上下班，新創團隊氣氛佳*

"營運功能單位 核心競爭力中心 核心競爭力中心以新技術研究應用發展為核心主軸，為公司蓄積更豐厚的事業量能，目前團隊包含AI應用、自駕車、雲端服務等，如果您正在找一個能盡情發揮所

【企業簡介】 希望人人一看見我們的logo，都會發出一聲「阿！」 為了提供讓世界驚豔的服務，我們致力於開發能夠帶來感動的技術，並創造出更便利且安全的社會。 發揮科技力量的最大極限、兼具先進技

1. Computer vision algorithm development. 2. Neural Network architecture design and optimization 歡迎對deep machine learning 有熱誠的研發人才加入~ https://www.bnext.com.tw/article/49432/ipcamera-vivotek-deeplearning-gdpr-trend-micro

Research and evaluate different AI and Deep learning approaches to determine the most effective solutions for given problems Design AI and LLM system pipelines, leveraging libraries like PyTorch, SD, and LangChain (et al.) Build, train, evaluate, and optimize AI models using techniques like deep learning, reinforcement learning, computer vision, NLP, etc. Work closely with data engineers and analysts to implement models in production environments. Monitor and maintain AI systems in production, e

1. Help develop computer vision, object tracking algorithms for autonomous cars. 2. Help address a variety of technical challenges in the areas of advanced optics, sensor fusion. 3. Conduct experiment with new or early stage algorithms. 4. Help analyze and improve efficiency, scalability, quality of algorithmic results and stability of various deployed systems. 5. Collaborate with team members from prototyping through production to advance the entire project