轉職熱搜工作

(請留意：為加快面試安排時間，2026校招僅限定投遞5個職缺) 1. MediaTek邀請您與世界頂尖人才合作，共同研究最新的點子，挑戰不可能，期待你擁有創新精神和持續學習的精神 2. 研究、分析並致力於最先進的演算法: 深度學習、數據分析、機器學習、自然語言處理或影像識別 3. 把想法化為現實，利用AI/LLMs和其他方法應用在行動通訊、無線及寛頻連結、家庭娛樂晶片解決方案 4. 在明快工作節奏的環境中與MediaTek工程師一起工作，學習新技術並解決現實世界的問題。

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.

(請留意：為加快面試安排時間，2026校招僅限定投遞5個職缺)我們在找這樣的你： 資工/資管/電子/電機/電信/通訊/電控相關研究所背景，對行動通訊、無線及寛頻連結、家庭娛樂晶片解決方案有濃厚興趣的2026年應屆畢業生。 勇於表達意見，以團隊成功為目標，面對困難不輕易放棄，總是在想更好的做法，擁有創新及不斷學習的精神。 聯發科技邀請您，與全球最頂尖的菁英一同合作，彼此激盪最新的創意與解法，共同挑戰每一個不可能。

Work in Analog/Mixed-Signal Modeling and Verification Methodology Development group to establish, streamline and enhance new and existing AMS Behavioral Modeling related development method, coding and validation process and integration flows, and work hands-on with AMS IP Teams for AMS Behavioral Modeling flow and process experiments, demonstrations, adaptions, and deployment. The candidate will work with AMS IP teams including digital design, analog design, analog behavioral modeling and design verification members, apply and advance existing and evolving AMS Behavioral Modeling methodologies and processes, and contribute to establish and maintain Modeling Platform to ensure High Quality and High Efficiency of Pre-Si AMS Modeling, Validation and Verification delivery towards high quality silicon products. • Work in methodology development group to establish, streamline and enhance new and existing AMS Behavioral Modeling related development method, coding and validation process and integration flows. • Work with teams to enable deployment of new AMS Behavioral Modeling flow and processes through experiments, demonstrations, adaptions (for real projects in specified areas such as RF, etc) and integration. • Document on new flows and processes for AMS Behavioral Modeling. • Apply wide range of AMS Behavioral Modeling skills to help and support AMS IP or Chip Teams to establish or enhance new or existing Modeling capabilities, including but not limited to Model Development, Model Validation to ensure Consistency of Behavior with Original Circuit, Integration of Models into various Verification Environment, fixing Modeling issues found in simulation, etc. • Contribute to continuous improving on AMS Behavioral Modeling process for better quality and efficiency through methodology and process improvements. • Communicate and collaborate with global architecture, design, verification teams to address new needs or requirement on AMS Behavioral Modeling. Job Locations: • Taiwan:Hsinchu/Taipei • India: Bangalore • Singapore • USA:Santa Clara, CA/San Diego, CA

We are looking for experienced ML/DL candidates to join our team of PhD-level researchers and interns. The ideal candidate is open-minded, passionate about pushing learning theory, and keen on the opportunity to challenging convention. In a flexible and supportive environment, one of your major responsibilities is to push the state of the art of learning theory, to obtain insights beyond mythical theories as well as to apply the right solution to novel application areas such as AI-designed IC and General Intelligence Conversation. Furthermore, you shall actively engage with worldwide colleagues and academics to nurture and build a collaborative and effective R&D environment. We welcome all ML/DL backgrounds, including computer vision, speech and NLP, and robotics.

職缺說明 我們是聯發科技IT MLOps平台團隊，致力於打造高效、可擴展的MLOps平台，提升企業AI模型開發、部署與運維自動化能力。團隊積極導入最新技術並持續學習成長，尋找具備MLOps平台架構設計與實踐經驗的菁英，一同推動公司AI數據驅動轉型。 歡迎對雲端/地端AI平台、機器學習自動化與大型系統架構有熱情的你加入我們！ 工作內容： 1 規劃並設計企業級MLOps平台架構，負責專案規劃、目標訂定、技術選型與落地執行。 2 與跨部門團隊AI合作，協助把商業問題拆解為可自動化實現的AI工作流，支撐AI模型端到端生命周期管理。 3 主導平台核心模塊建置：模型訓練/部署管線、CI/CD for ML、資料流通與版本控管、模型監控與資產管理等。 4 推動企業級MLOps標準化、流程自動化與最佳實踐，優化模型運營效能、穩定性及安全性。 5 參與平台持續優化與技術創新，導入新技術·新工具如Kubeflow、MLflow、Vertex AI等，提升平台功能。 6 協助建立團隊技術文化，分享MLOps相關知識、推動內部技術培訓與交流。

1.根據建築與工程項目需求，識別AutoCAD圖面並監督按圖施作 2.現場溝通、協調及記錄，減少現場的資訊落差 3.回饋工程設計團隊進行設計方案的調整與執行 4.進行現場測量及記錄工作 6.撰寫和管理相關品質、進度報表並進行歸檔 7.持續學習並掌握最新的工程繪圖技術及相關法規標準，提升專業技能 8.具Autocad製圖能力、公共工程品管人員/工地主任/職業安全衛生證照佳

1.機械設備保養維修。 2.廠區照明給水空調設備維護修繕。 3.工務室零附件耗材管理。 4.污水處理廠操作。 4.各項紀錄表單維持。 5.完成主管交辦事項。

1. 飯店內各項機電設備保養規劃、修繕與執行。 2. 委外工程評估及施作督導。 3. 節能操作要求及創新。 4. 人員排班勤務及員工訓練。 5. 主管臨時交辦事項。

1.固化廠設備檢查、保養與清潔 2.管控固化物成品之品質 3.固化物成品之移置、堆疊 歡迎有志於環保事業發展的夥伴加入我們的團隊！期待您的專業和努力一同為環境保護貢獻心力！立即投遞履歷吧！