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Role OverviewWe are seeking an experienced Machine Learning Researcher to join our research team. This role requires expertise in designing and deploying deep learning models within high-performance, low-latency trading systems. You will be working on developing robust, scalable models and integrating them into our trading infrastructure.Responsibilities Data Analysis Preprocessing: Understand and preprocess orderbook data.Deep Learning Model Design: Design models for time-series and orderbook data (Transformers, RNNs, CNNs, Attention).Scalable Training Implementation: Implement parallelized data loading pipelines.Feature Engineering: Develop and optimize orderbook features using C++.Backtesting Evaluation: Conduct rigorous backtesting across markets.Production Integration: Deploy models into real-time, low-latency systems.

1.針對半導體機台智能製造 IoT Data Connecting 相關技術的建構與整合 2.IoT 網路Data Connecting 技術與開發 3.IT System 整合開發 4.網頁設計與架構技術開發 5.IoT系統設計與自動化維運開發 6.GenAI 應用專案開發 7.日管維運、建立SOP、維持系統穩定 8.持續精進強化專業技能，提升競爭力

1.依部門訂立之計劃，落實執行，達成目標，當責 GenAI 平台及應用專案開發，協助各部門增進效率，解決部門痛點，提昇公司長期競爭力 2.GenAI 系統平台建置 3.GenAI 應用專案開發 4.日管維運、建立SOP、維持系統穩定 5.持續精進強化專業技能，提升競爭力

GenAI 技術理解與應用: 熟悉 LLM、RAG、embedding、fine-tune、prompt engineering 等 genAI 相關技術方法。1.資料分析與演算法/模型優化: 能處理自然語言, 影像及數值類等多模態數據, 具備應用向量資料庫、rerank 技術, 並能進行效能分析與改善。2.系統與平台建置: 具備雲端或地端部署經驗, 熟悉 Kubernetes/Docker, 能開發與整合 GenAI 平台或 workflow 工具 (如 n8n , dify,langflow)。3.軟體工程與架構設計: 具備良好工程基礎, 熟悉 API 開發、模組化設計、CI/CD，自動化測試與維運。4.自動化與流程整合: 具備 RPA 或流程自動化經驗與影像處理AOI經驗, 能將 GenAI 技術串接內部系統與業務流程。

1.針對半導體機台智能製造 IoT Data Connecting 相關AI技術的建構與整合 2.IoT 硬體Data Connecting 技術與開發 3.IT System 整合開發 4.熟悉半導體生產機台 5.IoT 行動裝置App 設計 6.AI 應用專案開發 7.日管維運、建立 SOP、維持系統穩定 8.持續精進強化專業技能，提升競爭力

Mechanical Engineer Reality Labs is developing the future of augmented reality (AR) products. As an Opto-Mechanical Engineer for the display and optics team, you will be part of a team brining new concepts from prototyping thru to mass production. You will be developing advanced technologies and designs, and working within evolving ecosystems to provide differentiating capabilities to our HW platforms. You will be part of a group of engineers at the forefront of the innovation for AR products. RESPONSIBILITIES● Drive Mechanical Engineering activities in a cross-functional hardware team ● Model, build, test, and refine AR products and prototypes ● Work across the full product development cycle, from concept inception to shipping product ● Apply rigorous engineering and tolerance techniques to high precision design requirements in the areas such as Optics, Mechanics, and Motion Control ● Coordinate with manufacturers and cross-functional teams on DFM activities, production bring up, and part and assembly qualification

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade.Responsibilities: AI algorithm/application research and development on image recognition, time series forecasting, and abnormal detectionAI system design and development, including system infrastructure (docker/K8S) and web application.AI System analysis, design, development and integration for cross organizations/systems projects.Innovate, develop and introduce Intelligent Manufacturing Solutions.Hiring Organization: IMC

團隊致力於開發下一代 AI 算法、系統架構與軟體管線，Mobile、XR（擴增/虛擬實境）、Automotive、以及 IoT 邊緣運算革命，深度參與 SOTA AI 模型的優化與部署，並將性能極致化。AI 推理管線實作：SOTA 的 AI 推理管線，並將其部署到平台跨不同作業系統（Linux, Android, QNX, Windows）的 AI 加速器上。效能極致優化： 深度優化機器學習工作負載，充分發揮 DSP、Adreno GPU、和 NPU 等 AI 引擎的潛能。系統整合與客製化： 與產品團隊緊密合作，將優化後的模型推理管線整合進產品軟體堆棧；並負責模型準備、量化（Quantization）、以及為平台開發客製化操作（Custom Operations, Custom Ops）。跨領域協作： 參與電腦視覺系統的整合與部署，涵蓋 Detection, Tracking, Segmentation, AIGC 等多樣化應用。

[Our Team] We are a forward-thinking team focused on generative AI applications, hyperautomation, digital employee and customer experiences, and consumer support technology. Our mission is to leverage the power of AI and automation to transform digital interactions, optimize business processes, and enhance overall user satisfaction. By integrating innovative AI solutions with existing systems, we aim to drive business growth, empower employees, and deliver exceptional customer experiences. We are looking for passionate AI engineers to join us in creating intelligent, data-driven solutions that make a tangible impact. [Key for Success] Understanding business objectives and utilizing AI models to make business decisions and develop strategies.Implement AI solutions that integrate with existing business systems to enhance functionality and user interaction.Bring new ideas into the team.Propose and develop POCs based on your or the team's ideas.Stay current with AI trends and suggest improvements to existing systems and workflows [Responsibilities] Build and maintain Generative AI applications and infrastructure.Manage the data flow and infrastructure for effective AI deployment.Collaborate across teams to align AI initiatives with organizational goals.Develop machine learning models and AI solutions.Test, deploy, and maintain AI systems.Collaborate with data scientists and other engineers to integrate AI into broader system architectures.

【團隊介紹】 我們是一個充滿熱情與創意的團隊，致力於結合科技與數據驅動保險業的創新變革。在這裡，你將與專業的技術與商業團隊協作，打造下一代智能解決方案，推動產險的數位轉型與智能化發展。 我們相信，未來的保險不僅僅是理賠和風險分攤，更是結合數據與AI技術實現全方位的風險預測與預防。 無論是車險理賠自動化、自然災害風險評估，還是風險預防方案，我們不僅在傳統產險領域引入前沿技術，也正在探索保險科技的無限可能。 如果你熱愛結合商業與技術，並希望將創意和洞察力轉化為可落地的AI解決方案，這裡將是你大展身手的最佳舞台！加入我們，與數據和科技共同塑造保險的未來！👀更多關於我們做的數據服務，期待您的加入，運用數據專案管理與技術整合能力，推動 AI 轉型與數據生態建構，讓數據創造最大價值！1. 九成跨域人才！國泰產險多元跨域、探索共融 打造數位數據轉型創新基地🔗https://www.bnext.com.tw/article/81887/cathay_ddt_2025012. 國泰產險推業界首創「CarTech智能車險加值服務」，數據驅動助法人車隊落實損害防阻🔗https://www.bnext.com.tw/article/81313/cathay-ins2024113. 國泰產險數位轉型新里程！AI與數據驅動加速全險種理賠、提升風控更有效阻詐2,300萬🔗https://www.bnext.com.tw/article/81460/samrtclaim_2024