Cake 找工作

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！

🦾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。

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

🏢 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

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

公司介紹 這是一家長期深耕金融科技與數據應用的知名金融機構，擁有龐大的金融交易與客戶數據基礎，持續投入 AI、數據分析與智能化服務發展。團隊致力於將機器學習技術實際應用在金融服務場景中，例如智能推薦、風險分析、語言模型應用與流程自動化等，讓 AI 技術真正影響數百萬用戶的金融體驗。 在這個團隊中，你將有機會參與大型數據環境下的 AI 專案，將模型從研究、開發到實際部署，並與產品與業務團隊合作，將機器學習能力落地到實際商業場景。對於希望將 AI 技術真正應用於高影響力產業場景 的工程師而言，是非常具有發展性的舞台。 工作內容 開發與優化機器學習模型，應用於金融服務與內部流程優化 與業務單位合作，將實際業務問題轉換為可落地的機器學習問題 建置與部署 AI 模型服務，提升系統自動化與智能化程度 參與模型設計、實驗、評估與部署流程 協助推動 AI 技術在產品與服務中的應用 使用的技術 Python TensorFlow / PyTorch / Scikit-learn RESTful API NLP / 語音模型 / 推薦系統 / 影像辨識（依專案需求）

【Company Highlights】 🌟 Specializing in AI-driven customer service solutions and virtual assistants, and using natural language processing and machine learning for automated interactions🌟 Aims to enhance customer experience and streamline business operations through AI technology🌟 Fully remote with competitive package and benefits 【Responsibilities】 Design and architect robust, resilient, and scalable OpenStack cloud infrastructure to meet the organization's computing, storage, and networking requirements Lead the deployment, configuration, and integration of core OpenStack services including Nova, Neutron, Cinder, Glance, Keystone, Horizon, and Heat Automate the provisioning and management of OpenStack environments using tools like Ansible, Puppet, or Heat Ensure high availability and fault tolerance across the OpenStack control plane and compute/storage resources Monitor and troubleshoot issues within the OpenStack environment, and implement proactive measures to maintain optimal performance Collaborate with the network, storage, and security teams to integrate OpenStack with existing infrastructure Develop and document standard operating procedures for deploying, upgrading, and maintaining the OpenStack environment Provide technical guidance and support to the cloud operations team Stay up-to-date with the latest OpenStack releases and roadmap, and evaluate newfeatures and capabilities for potential adoption

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: 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.

About the Role At Canner, we're building breakthrough AI and data infrastructure that transforms data from a static asset into the core engine of enterprise decision-making. As part of our RD team, you'll help drive the development and adoption of Wren AI. Wren AI is Canner's flagship open-source project, enabling Large Language Models (LLMs) to query enterprise data directly and providing AI Agents with precise semantic query capabilities. Our open-source repository has been featured on GitHub Top Trending for several consecutive weeks, accumulating nearly 15k+ stars and establishing itself as a leading global GenBI solution — a strong signal of worldwide developer recognition and demand. As a Forward Deployed Engineer (FDE), you'll be the engineer on the front line with our customers — deeply understanding their data architecture and business context, and turning Wren AI into the AI data infrastructure that powers their organization. You won't just respond to issues; you'll proactively drive customer success, channel frontline insights back to product, and accelerate our iteration cycle. If you're passionate about large-scale AI applications, working with international enterprises, serving global users, and learning the standards and expectations of multinational customers, this is an exceptional opportunity to participate in cutting-edge industry development. Responsibilities Serve as the technical partner and engineering point of contact for customers — understanding their data architecture, business needs, and use cases, and helping them plan and implement Wren AI best practices in their environment Lead customer onboarding and deployment, including data source connections (databases, data warehouses, etc.), semantic model (MDL) design and tuning, and AI model configuration and validation Design and build custom integrations, PoCs, demos, and technical validations tailored to each customer's data environment, demonstrating Wren AI's value in their specific context Triage, diagnose, and resolve technical issues customers encounter with the Wren AI platform/API — including natural language query accuracy, SQL generation, chart/report rendering, and API integration challenges Collaborate closely with Product and Engineering teams to translate customer needs and frontline insights into product issues and feature requests, and participate in testing fixes and validating new features Write and maintain technical documentation, integration guides, best practices, FAQs, and solution templates to improve customer self-service and team-wide support efficiency Track and respond to customer requests within SLA, ensuring high-quality and timely resolution Analyze customer usage patterns and recurring issues to proactively propose product improvements and customer success strategies — improving product stability, user experience, and retention Support Wren AI's open-source community growth and engagement — responding to GitHub issues/discussions, supporting community contributors, writing technical blog posts and example projects, and participating in community events to expand our global developer ecosystem