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公司介紹： 我們的目標是將人工智慧應用於促進人類的大健康，透過建立智能醫療雲提供全面的醫療解決方案。 匯聚了AI解決架構師、生醫資訊工程師和巨量資料科學專業人才，以人工智慧為核

NVIDIA is searching for several outstanding computer vision and deep learning researchers to join our new research team in Taipei/Hsinchu. We are passionate about research that pushes boundaries but also has an impact in the real world. Specific areas we are excited by include but are not limited to computer vision for 3D vision, generative and multimodal AI (e.g., vision and language, audio-visual learning, etc.), as well as explainable and trustworthy

【 Our Vision 】 Because of the shortage of radiologists in worldwide, there are many people who lose their lives. We want to provide quality medical care to them. By using AI, we are providing a way to diagnose diseases rapidly on-site and in early stage! Our company are providing medical equipment with embedded AIs in worldwide such as a mobile X-ray machine! Right now, we are saving many people’s lives using our AI-embedded medical

作為廣告引擎的資深機器學習工程師，您的主要職責是利用先進的機器學習技術來提升廣告系統的效能和智能化。設計、開發和實施機器學習模型，以提高廣告的目標達成率、點擊率和轉化率。將

1. 帶領團隊以機器學習、深度學習、統計分析等技術，協助或提供公司產品所需算法的解決方案,並規劃相關核心算法的技術路線 2. 應用領域包含但不限於電腦視覺 (surface defect inspection, object detection/classification/recognition/

1、開發經驗數據分析，特別是LLM和多模式基礎模型。 2、使用深度學習框架，如TensorFlow和PyTorch的經驗。 3、使用RAG，SelfRAG，VectorDb，GraphDB的經驗。 4、使用LLM優化框架的經驗，例如VLLM、 Ex-llama、 llama.cpp。 5、使用 Docker、Kubernetes 、Triton Inference Server 或 TensorRT的經驗。 6

NVIDIA’s Solution Architecture team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. We work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for

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

負責人工智慧學習演算法開發包含： 1. 規劃演算法架構 2. 演算法實作及驗證 3. 進行演算法精確度及效能分析 4. 疊代式調整演算法以達成客戶需求

1.資料處理與模型建立（訊號處理、影像處理、資料庫語法、資料庫規劃、機器學習、深度學習、NLP、NLU、技術文件撰寫、等） 2.AI技術研發 3.模型與系統優化與最佳化 4. 其它主管交辦事項。