Cake 求人検索

詳細フィルター
オフ
Taiwan
知名資安軟體公司裡面的AI創新研發部門,正在找尋具備軟體開發思維的Data Scientist(NLP),將探索如何在網路安全領域應用實用或最新的先進演算法。不僅要符合公司的戰略,還要為客戶帶來價值!
Generative AI
python
Data Science
1.3M ~ 2.3M TWD / 年
4年以上の経験必須
管理業務なし
🦾Company highlights🌱🧠 智能客服SaaS服務領導者,旗下產品橫跨台灣、日本、韓國、中國等地區全通路消費者情境整合跨平台🛰️☎️全球最大客服系統品牌 💬自有產品AI Chatbot整合 CRM 服務對話全平台,分享新零售時代下全通路客服整合趨勢及應用場景。 我們正在尋找一位經驗豐富的 AI 對話系統演算法工程師加入我們的團隊。我們的核心產品是一款創新的 AI 銷售/客服機器人,旨在快速整合品牌的產品資訊與客服資訊,提供 24/7 全天候的自動聊天機器人服務。您將負責優化機器人的對話效能、提升模型精準度,並確保系統穩定運行,為用戶提供卓越的對話體驗。
1.2M+ TWD / 年
3年以上の経験必須
管理業務なし
公司簡介 我們是一間專注於「生成式 AI 應用」的軟體新創,致力於打造能大幅降低人力成本、提升營運效率的智慧客服與自動化銷售解決方案。核心產品為基於 LLM GPT 的智能客服系統,已導入多家跨境電商、平台服務、消費品牌,並與全球頂尖 CRM、社交平台及 AI 工具公司合作。公司正快速成長中,誠摯邀請對 NLP 與 AI 商業應用有熱情的技術人才加入,一起打造世界級 AI 產品。 工作內容 你將成為 AI 團隊核心工程師,負責以下任務: 優化 Chatbot 的對話效能,特別是針對負向回饋自動優化模型與回應品質 訓練與調整 NLP 模型,如情感分析、意圖辨識、回應生成等深度學習應用 開發即時效能監控與預警系統,追蹤回應時間、滿意度、完成率等關鍵指標 分析大量對話紀錄,提出數據洞察,驅動產品優化方向 規劃與執行 A/B 測試,驗證不同模型與策略的效益 若有興趣,亦可參與 MLOps、雲端部署或強化學習相關項目發展 使用技術 語言與框架:Python、TensorFlow、PyTorch、SQL 雲端平台:AWS、GCP(擇一熟悉即可) 資料科學與分析:Pandas、Sklearn、統計分析與資料視覺化工具 開發流程:Git、unit testing、code review、CI/CD 產品場景包含多語系 NLP、客服任務導向對話、情緒分析與語意理解等
TensorFlow
PyTorch
NLP
1.5M ~ 2M TWD / 年
5年以上の経験必須
管理業務なし
🏢 公司介紹 我們的客戶是台灣最具規模與影響力的零售集團龍頭,積極拓展多元化的電商平台生態系。作為台灣零售業的標竿企業,該公司持續引領產業創新,近年積極推動全面數位轉型,整合線上線下(O2O)資源,打造台灣最大規模的全通路零售平台。 為什麼加入我們? 產業領導地位:台灣零售業龍頭,擁有穩健發展基礎與龐大數據資產 數位轉型先鋒:目前正全力投入集團電商整合與數位化升級,是參與零售科技革命的絕佳時機 絕佳職涯發展:在數位經濟時代,您的專業能力將直接對數百萬消費者與企業營收產生顯著影響 工作內容介紹 領導團隊:帶領資料科學家與資料工程師團隊,訂定技術目標,打造以成長與創新為核心的團隊文化。 技術路線圖:規劃並執行資料科學與AI技術策略,導入機器學習平台與雲端資料解決方案,確保系統高效與可擴展。 跨部門協作:與工程、行銷與產品團隊合作,將業務需求轉化為數據驅動的解決方案,推動個人化推薦與預測分析專案。 資料合規:確保資料處理流程符合隱私與合規要求,建立安全且穩健的資料管線。 專案管理:監督資料蒐集、建模與部署流程,確保專案成果能有效落地並創造商業價值。 使用的技術 程式語言:Python、R、Java 雲端平台:AWS、Google Cloud Platform(BigQuery)、Azure(Redshift、Databricks) 大數據技術:Spark、Hadoop、Airflow、AWS Data Pipeline 機器學習框架:TensorFlow、PyTorch、MLflow、Kubeflow 容器與CI/CD:Kubernetes、Docker 其他:ETL/ELT流程、敏捷開發(Scrum/Kanban)、A/B測試、CDP與MarTech整合
CDP
Recommendation System
NLP
關於 Wren AI Wren AI 正在重新定義企業級商業智慧(Business Intelligence),透過 Generative BI(GenBI),讓企業使用者能以自然語言存取 可信、可治理的分析結果,不需要撰寫 SQL,也不必維護複雜的語意模型。 Wren AI 誕生於台灣,具備深厚的 開源(Open Source)DNA,是少數從台灣出發,成功服務歐美、中東與亞太企業客戶的 B2B AI 新創公司。 目前,Wren AI 已被多家成長型與 跨國大型企業 採用,並正以開源導入與企業擴張為核心,快速成長中。 這是一個能在台灣工作、卻站在 全球 enterprise 銷售第一線 的難得機會。 職務說明 我們正在尋找一位具備 國際 enterprise 銷售經驗 的 Account Executive,從台灣出發,負責 海外企業客戶的新客戶開發與擴展。 此職位非常適合以下類型的人才: 英文溝通流利,能直接與海外企業客戶進行完整銷售流程 熟悉複雜、顧問式(consultative)的 enterprise sales cycle 能同時與技術與非技術決策者溝通 希望銷售的是一個「真正具全球競爭力」的產品,而非僅限在地市場 你將與創辦團隊、產品、Sales Engineering 與 Customer Success 緊密合作,共同擴展 Wren AI 的全球企業版圖。 工作內容 建立並管理 全球企業級銷售 pipeline,確保足夠的 quota coverage 全權負責複雜、多決策者的 enterprise 銷售流程(從初次接觸到成交與擴展) 穩定完成 enterprise 新客戶(net-new logos) 並推動 land-and-expand 策略 與以下角色進行顧問式銷售溝通: Head of Data / Analytics / BI IT / Data Platform 團隊 企業主管與決策者 對外清楚傳達 Wren AI 的 GenBI 願景與價值,涵蓋技術與商業面 與 Sales Engineering、Product、Customer Success 跨部門合作,確保成交與客戶成功 持續經營既有帳戶,推動產品採用、擴展與續約 使用 CRM 與 pipeline 工具(如 HubSpot、LinkedIn Sales Navigator)進行準確預測與管理 這是一個能在台灣工作、卻代表全球企業級 AI 產品,直接與歐美、中東與亞太大型企業客戶合作的難得機會,同時參與打造台灣少數真正具全球影響力的開源 B2B AI 公司。About Wren AI Wren AI is redefining Business Intelligence with Generative BI (GenBI)—enabling business users to access trusted, governed analytics through natural language, without writing SQL or managing complex semantic layers. Born in Taiwan with a strong open-source DNA, Wren AI is one of the few B2B AI startups from Taiwan successfully serving enterprise customers across the US, Europe, Middle East, and APAC. Today, Wren AI is trusted by fast-growing mid-market and multi-billion-dollar global enterprises, and is experiencing rapid international growth driven by OSS adoption and enterprise expansion. This is a rare opportunity to join a Taiwan-based team while operating at a true global enterprise sales level. The Role We are looking for an experienced Enterprise Account Executive based in Taiwan to own and drive net-new enterprise sales and expansion across international markets. This role is ideal for a seller who: Is fluent in English and comfortable selling to global enterprise buyersThrives in complex, consultative, multi-stakeholder sales cyclesCan articulate modern BI, analytics, and GenAI value to both technical and business audiencesWants to represent a globally relevant product, not just a local or regional solution You will work closely with founders, product, and sales engineering to help scale Wren AI’s enterprise footprint worldwide. What You’ll Do Build, manage, and maintain a strong global enterprise pipeline with sufficient quota coverageOwn complex, multi-stakeholder sales cycles from first meeting to close and post-sale expansionConsistently close net-new enterprise logos while executing a land-and-expand strategyLead consultative sales conversations with:Heads of Data, Analytics, BIIT Platform teamsBusiness leaders and executivesEvangelize Wren AI’s GenBI vision to both technical and non-technical stakeholdersCollaborate cross-functionally with Sales Engineering, Product, and Customer Success to ensure deal success and customer outcomesMaintain strategic ownership of accounts to drive adoption, expansion, and renewalsAccurately forecast and manage opportunities using CRM and pipeline tools (e.g. Salesforce, HubSpot, LinkedIn Sales Navigator)
1.8M ~ 4.5M TWD / 年
5年以上の経験必須
管理業務なし
Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree in Computer Science, or equivalent practical experience. 5 years of experience with software development in one or more programming languages. Experience in programming languages such as C and C++. Preferred qualifications: Experience with version control systems and code review tools like Gerrit. Knowledge of embedded development and Microcontroller (MCU) Real-Time Operating System (RTOS) systems. Knowledge of Linux device drivers and Android. Knowledge of bus protocols including I2C, SPI and USB. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Google Augmented Reality team is a group of experts tasked with building the foundations for great immersive computing and building helpful, delightful user experiences. We're focused on making immersive computing accessible to billions of people through mobile devices, and our scope continues to grow and evolve.Responsibilities Design and maintain software for embedded systems in multiple domains spanning bootloader to middleware. Develop hardware bring up and software test plans. Work on Linux device drivers and Android integration. Work on device drivers for microcontrollers in bare-metal and real-time operating system environments. Collaborate with cross-functional teams to design and implement solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in C or C++. Experience with embedded systems. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience. Experience with video codecs. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.Responsibilities Design and implement low-level firmware modules in C language to support advanced video codec features. Optimize firmware code for low-power consumption and high-throughput performance on embedded processors. Collaborate with the software drivers team and vendor to define and implement Application Programming Interface (API) or Input/Output Control (IOCTLs) for firmware-to-software communication. Assist in troubleshooting video pipeline issues, from the driver layer down to the hardware registers. Manage the technical relationship with external Video Internet Protocol (IP) vendors, including tracking bug reports and reviewing IP documentation. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google welcomes people with disabilities.Minimum qualifications: PhD degree in Computer Science, a related field, or equivalent practical experience. Experience coding in one of the following programming languages: C, C++, Java or Python. Experience in one or more of the following: architecting or developing distributed systems, concurrency, multi-threading, or synchronization. Preferred qualifications: 1 year of experience with performance, large scale systems data analysis, visualization tools, or debugging. Experience in code and system health diagnosis and resolution, and software test engineering. Experience developing accessible technologies. Ability to start full-time role in 2026. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
設計與實作 LLM 微調(Fine-Tuning)流程,並根據實務應用需求進行模型優化運用 HuggingFace、LoRA、QLoRA、Deepspeed 等工具對 Transformer 架構進行調校建構與維護資料前處理與 Tokenization pipeline,支援中文與多語環境下的 NLP 任務撰寫並執行模型評估流程(BLEU / ROUGE / EM / Retrieval-based Precision 等)部署並持續優化已訓練模型於雲端環境中的表現與穩定性與產品開發團隊協作,提供技術建議與最佳實作,落地 AI 解決方案
1M ~ 1.8M TWD / 年
3年以上の経験必須
管理業務なし
Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Computer Science, Communications, Electrical Engineering, a related technical field, or equivalent practical experience. 5 years of experience in Linux embedded system development. Experience programming in C or C++. Preferred qualifications: Experience in computer networking. Experience in leading NPI projects. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Googles mission is to organize the worlds information and make it universally accessible and useful. Our Devices Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our users interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices Services team is making peoples lives better through technology.Responsibilities Design, build and improve our on-device infra for Google Home Platform. Lead third-party Home New Product Introduction (NPI) projects. Scale Google Home Platform (GHP) across various OSs (Linux/Android/Fuchsia) with high velocity and low maintenance. Scale GHP to build a broader ecosystem, for both first-party and third-party devices. Design and build on-device infrastructure to empower new use cases on GHP, such as home automation and intelligence. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Cake 求人検索

今すぐCakeに参加!何万件もの求人情報から理想の仕事を見つけよう。