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. 安裝自動化生產設備（搬運機器人、自動測試設備等）。 2. 協助新設備導入、測試與自動化流程優化。 3. 遵從製程工程師、設備工程師指派業務。 4. 遵守晶圓廠 Cleanroom 規範及設備操作安全規範。 加分條件 • 半導體晶圓廠工作經驗者優先。

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.

1.Design, develop, and optimize advanced Generative AI models (e.g., LLMs, diffusion models, GANs) for modem system verification and testing. 2.Develop and lead AI-powered tools and platforms to automate software processes, improving efficiency and test coverage in modem system testing. 3.Architect large-scale data pipelines and perform feature engineering and statistical analysis to ensure the quality and integrity of test data. 4.Lead technical projects using Agile methodologies, driving models from PoC to production and ensuring robust testing and CI/CD integration for modem systems. 5.Stay up to date with the latest AI trends, and proactively propose and implement innovations to enhance automation and testing efficiency.

此職位高度重視執行力、組織協調以及所有ASIC設計的準時交付。 該職位負責協調涵蓋設計、驗證、PD、測試、DFT、封裝測試、營運和供應鏈等多個領域的複雜跨學科工作。 專案經理確保所有內部團隊從概念到生產全程保持一致，同時識別並克服所有風險和跨職能依賴關係。 This role is highly focused on execution excellence, organizational alignment and on-time delivery of all ASIC designs. This role coordinates complex multi-disciplinary efforts spanning, Design, Verification, Physical Design, Test Vehicles, DFT, Packaging Test, Operations and supply chain. The program manager insures that all internal groups are aligned from concept through production while identifying and overcoming all risks and cross functional dependencies.

We are looking for aspiring ML/DL candidates to join our team of researchers. The ideal candidate is open-minded, passionate about pushing learning theory, and keen on the opportunity to challenging convention. Your ideas shall be based on sound mathematical justification, yet can lead to scalable and practical solutions. In a flexible and supportive environment, one of your major responsibilities is to push the state of the art of learning theory. Furthermore, through collaboration with worldwide colleagues, you will have the rare opportunity to apply advanced Deep Learning theories to novel application areas such as AI-designed IC and General Intelligence Conversation. We welcome all ML/DL backgrounds, including computer vision, speech and NLP, and robotics.

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. 熟悉內部稽核、內部控制、風險管理或資訊系統稽核基本方法，能將流程風險轉化為可測試的控制點與稽核程序。 2. 具備 IC 設計、半導體、電子產品研發或軟硬體開發流程之基本理解，了解從需求、設計、驗證、release 到量產維護之流程風險。 3. 熟悉研發流程常見控制，例如 design review、code review、branch protection、bug tracking、coverage review、waiver approval、release gate、tape-out sign-off 等。 4. 具備資料分析能力，能使用 SQL、Python、Excel Power Query、Power BI、Tableau 或其他資料分析工具進行資料清理、比對、例外偵測與視覺化。 5. 能理解並分析研發系統資料，例如 Git / GitLab / GitHub、Jira、bug tracking system、PLM、release system、IAM、HRIS、EDA / CAD flow log 或其他工程資料。 6. 具備權限管理與存取控制概念，理解 least privilege、JML access control、privileged account review、terminated user access removal、role-based access control 等控制。 7. 了解資訊安全與資料保護基本概念，包括 DLP、USB / cloud storage control、source code protection、sensitive data classification、audit trail、log review 等。 8. 了解智慧財產權與研發資料保護風險，例如 High Sensitive IP、third-party IP、open source software、SBOM、EDA / PDK / Foundry data、NDA data、export control 等。 9. 具備流程訪談與跨部門溝通能力，能與 RD、IT、資安、資料治理、法務、專案管理及流程 Owner 討論風險、控制、資料來源與改善方案。 10. 具備將業務問題轉換為資料規則的能力，例如將「未完成 code review 即 release」轉換為 commit、PR、approval、release tag 之間的資料比對邏輯。 11. 對 AI、Agent、RPA 或自動化稽核工具有興趣或實務經驗，能協助規劃 Audit Agent 的測試規則、資料需求、輸出格式與人工覆核流程。 12. 具備良好文件撰寫能力，能撰寫稽核底稿、流程圖、風險控制矩陣、缺失描述、根本原因分析、改善建議與管理階層報告。 13. 具備獨立思考、問題分析與專案管理能力，能同時處理多項稽核任務、資料分析需求、缺失追蹤與跨單位溝通。 14. 具備高度職業道德、保密意識與風險敏感度，能審慎處理研發機密、客戶資料、IP 資料、權限資料與稽核發現。

• Perform 5G/B5G/6G/NTN baseband algorithm designs, including (but not limited to) system analysis, beamforming mechanisms, calibration methodologies, RF exposure control, etc. • Perform ML/AI algorithm investigations and seek potential applications for system performance optimization. • Be able to guide junior engineers if applying for technical manager. • Be able to coordinate multi-site operations and attend meetings across time zones (nice-to-have)