轉職熱搜工作

1. 監控與維護自動化生產設備（搬運機器人、自動測試設備等）。 2. 收集與分析設備運行數據，支援製程改善與自動化專案。 3. 協助新設備導入、測試與自動化流程優化。 4. 與製程工程師、設備工程師及 IT 團隊合作解決設備及系統問題。 5. 遵守晶圓廠 Cleanroom 規範及設備操作安全規範。 條件要求 • 專科或以上機電、自動化、電機或相關科系畢業。 • 具備自動化設備排除故障經驗。 • 能接受輪班。 加分條件 • 半導體晶圓廠工作經驗者優先。 • 英文讀寫能力佳，可閱讀技術文件。

1.水質採樣、抄錶、使用費計算。 2.聯接、納管文件審查及會勘。 3.雨、污水道巡查。 4.前處理設施勘查、輔導。 5.相關文書作業。

職責要求 1. 資料科學團隊管理 - 建立模型開發流程，涵蓋需求確認、資料探索、模型設計、驗證、部署、監控與迭代。 - 管理專案進度、資源分配、風險控管與跨部門協作。 2. AI / Data Product Roadmap 規劃 - 推動 Predictive AI、Interpretive AI、Generative AI 與 Agentic AI 在媒體場景中的應用。 - 建立模型效能、資料品質、使用者採用與商業成效的追蹤機制。 3. 精準廣告與預測式 AI - 帶領團隊發展受眾分群、使用者興趣預測、廣告反應預測、高價值受眾辨識與 campaign performance analysis。 - 與廣告業務、廣告產品、ad operations 及資料工程團隊合作，將模型能力轉化為可銷售、可交付、可追蹤的廣告產品與客戶洞察。 4. 內容推薦與個人化 - 發展使用者閱讀行為分析、內容特徵建模、個人化推薦、熱門內容推薦、冷啟動策略與相似內容推薦。 - 支援首頁、文章頁、App、電子報與推播等場景的推薦邏輯與 A/B 測試。 - 確保推薦模型兼顧點擊成效、內容品質、使用者體驗、內容多樣性與編輯價值。 5. 新聞室生成式 AI 應用 - 帶領團隊發展文章分類、內容標籤、摘要生成、標題建議、議題聚合、受眾匹配與新聞室決策輔助功能。 - 建立生成式 AI 輸出品質評估、編輯回饋機制、人工覆核流程與風險控管。 - 確保 AI 作為輔助工具支援新聞專業，而非取代編輯判斷。 6. 模型治理與負責任 AI - 建立模型文件化、資料來源說明、模型限制、適用範圍與版本管理機制。 - 推動資料品質檢查、模型漂移監測、GenAI 輸出品質評估、偏誤風險管理與異常 fallback 機制。 7. 跨部門協作 - 與新聞室共同定義 AI 輔助工具的應用場景、成功指標與回饋機制。 - 與廣告業務合作，將資料洞察與受眾模型轉化為銷售工具、提案素材與廣告商品。 - 與平台、產品與工程團隊合作，推動推薦實驗、產品優化、模型整合與成效追蹤。 任職資格 1. 具備資料科學、AI、機器學習或資料產品團隊管理經驗。 2. 能帶領團隊從問題定義、模型開發、驗證、部署到成效追蹤。 3. 具備跨部門專案管理與 stakeholder management 能力。 4. 熟悉資料科學、機器學習、推薦系統、NLP 或生成式 AI 應用。 5. 熟悉 Python、SQL 與資料處理流程。 6. 熟悉 scikit-learn、XGBoost、LightGBM、TensorFlow、PyTorch 或類似工具。 7. 熟悉 Google Cloud Platform，並了解 AWS 或其他 cloud data platform。 8. 具備模型部署、MLOps、pipeline、API、batch inference、monitoring 或 production AI 經驗。 9. 能審查模型設計、評估方法、技術文件與實驗結果

Do you want to be part of a smart and passionate team of researchers, advancing artificial intelligence to the next level of end-user experience in their daily lives? MediaTek Research Taiwan is seeking driven and brilliant young students to join our efforts by providing Internship placements. We are currently working on Natural Language Processing, AI for Chip Design and more! We hope you can join us as we embark on the a journey from research to product! The ideal candidate is open-minded, passionate about realizing AI in practical use cases, and looks forward to cutting-edge challenging problems. • You have experience on Frontend/Backend/Full-Stack Web programming • You have basic understanding of the foundations and engineering aspects of AI, hands on experience with machine Learning frameworks (PyTorch, Tensorflow, JAX) is a plus. • You are a proficient scientific communicator. You are committed to your goals and working in a team. • You are eager to tackle real-world applications with state of the art methodologies. We want your ideas to shine! As an Engineering Intern in our team, you will collaborate with our researchers and worldwide colleagues and develop applications and algorithms that make a real difference in everyday devices. Your developments would significantly enhance the experience of numerous end users across our product range.

Do you want to be part of a smart and passionate team of researchers, advancing artificial intelligence to the next level of end-user experience in their daily lives? MediaTek is seeking driven and brilliant young students to join our efforts by providing Internship placements. We are currently working to expand the frontiers of Deep Learning frameworks for Computer Vision and Natural Language Processing and we hope you can join us! The ideal candidate is open-minded, passionate about learning theory, and looks forward to both practical and challenging problems. • You will be working towards or recently have completed a PhD in a quantitative field such as Computer Science, Mathematics, Physics or Engineering. • You have a good knowledge of the foundations of Deep Learning and Neural Networks, including some experience with Machine Learning frameworks (Tensorflow, PyTorch, JAX) • You are a proficient scientific communicator. You are committed to your goals and working in a team. • You are eager to tackle the state of the art problems in the field. We want your ideas to shine! As a Deep Learning Researcher in our team, you will collaborate with our Researchers and with worldwide colleagues, stay up and above the state of the art, initiate with novel ideas, and develop them into algorithms and applications that make the real difference in everyday devices. You will also push your contribution by publishing at top-tier conferences, such as NeurIPS, ICML, ICLR, CVPR, ACL, ICRA, ACM.

1. Overseeing the integration of all supply chain activities, including procurement, manufacturing, logistics, and quality 2. Leading cross-functional teams to identify and mitigate supply chain risks 3. Developing and implementing strategies to optimize constrain MP supply and flow 4. Ensuring on-time delivery of mass production, materials and components to support project verification and qualification 5. Collaborating with engineering and product development teams to ensure product manufacturability 6. Continuously monitoring and improving supply chain performance metrics

1. 系統軟體平台開發與建置 2. OS / multiple-thread相關實作 3. 平台驗證與AI流程導入設計 4. 硬體平台與實驗設備協助 5. 跨國溝通之技術文件整理

1.線上生產作業及機台操作 2.協助改善製程品質 3.設備維修保養 4.具車銑床經驗 ●每週四、週五13:00-17:00 隨到隨面試 也可來電安排時間 03-4721517#316 陳課長 桃園市楊梅區富聯路155號 (車程距富岡車站五分鐘內) 訂單穩定，疫情到現在都沒有放過無薪假 供應餐點讓您不用煩惱要吃什麼 福利制度健全，等您來了解！

0. 基本英文文書能力 1. Responsible for establishing and improving software engineering relevant systems and automation mechanism 2. Responsible for improving software configuration management systems 3. Responsible for improving release automation systems 4. Responsible for improving Linux build environment

Job Description: MediaTek Inc. (MTK) is a global fabless IC design company based in Hsinchu, Taiwan. As a production planner at MTK, you will independently develop production plans for the product lines you are responsible for, and execute these plans to ensure supply targets are met through cross-functional collaboration, both internally and externally. You’ll need to: Develop inventory strategies and capacity preparation plans. Communicate plans and strategies with the BU and sales teams to finalize a feasible plan. Execute your plans, monitor and track capacity ramp-up status, and resolve any issues that arise. Monitor production progress and address any issues as needed. Ensure production schedules are met to fulfill customer demands.