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Applications will be reviewed on a rolling basis and it’s in the candidate’s best interest to apply early. The anticipated application window is open until March 27, 2026, but may close earlier if all available projects are full. Applications submitted after the application window or once role is closed/projects are full will not be considered.Participation in the internship program requires that you are located in the Taiwan for the duration of the internship program.This internship is intended for students who are currently pursuing a PhD degree program in Computer Science or a related field.Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program.To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):1. In the “Resume Section:” attach an updated CV or resume.Please ensure your anticipated graduation date (in MM/YY) is listed on the resume.2. In the “Education Section:” attach a current or recent unofficial or official transcript in English. Under “Degree Status,” select “Now attending” to upload a transcript.Join us for a unique 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. The Software Engineering Internship program will give you an opportunity to work on complex computer science solutions, develop scalable, distributed software systems, and also collaborate on multitudes of smaller projects that have universal appeal.Google welcomes people with disabilities.Minimum qualifications: Pursuing a PhD program with a focus on subjects in software development or other technical related fields. Experience in software development and coding in one or more of the following: Python or C++. Experience with data structures or algorithms gathered from inside or outside of school or work. Preferred qualifications: Currently attending a degree program in Taiwan and available to work full time for 12 weeks outside of university term time. Penultimate academic year or returning to a degree program after completion of the internship. Programming experience in one or more of the following: C/C++, Python, CUDA. Research experience in computer architecture, embedded systems, accelerators, artificial intelligence, data mining, distributed systems, machine learning, data science, LLM, rule base or systems. Experience in computer science, with competencies in data structures, algorithms and software design. About the jobAs a Software Engineering intern, you will work on a specific project critical to Google’s needs. Software Engineering Intern:As a key member of a versatile team, you will work on a specific project critical to Google’s needs. We need our engineers to be versatile, and enthusiastic in addressing problems as we continue to push technology forward. You will design, implement, and manage the hardware, software, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, cloud customers and the billions of people who use Google services around the world.Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.Responsibilities Develop software for Google Cloud’s infrastructure to empower Google service and external cloud customers, with hardware platforms including compute, storage, or AI-accelerators like TPUs and GPUs. Create and support a productive and innovative team including working with peers, managers, and teams. Analyze data and evaluate results to choose the best solution to effectively solve issues. Develop scripts or use AI to automate routine tasks and manual processes. Apply knowledge gained in computer science courses to real world issues. 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.

We are seeking a Senior Software Engineer to be the technical heartbeat of our GenAI security capabilities. In this role, you sit at the exciting intersection of Research and Product, turning breakthrough experiments into scalable, production-grade software. You won’t just be implementing features; you’ll be designing the sophisticated tooling and AI Agent architectures that make the Vulcan Platform unique. We offer a playground for builders who want to solve unsolved problems, master advanced prompt engineering, and work alongside a world-class team. Come build the shield for the AI era and expand your technical horizons Learn more about us 👉 Vulcan product: https://vulcanlab.ai/Vulcan LinkedIn:https://www.linkedin.com/company/vulcanlab-ai/AIFT group:https://aift.io/ - How to apply Please apply with English CVthroughhttps://job-boards.greenhouse.io/aift/jobs/5744136004 Thank you. - What you'll do 1. Core Application Platform Development (Full Stack) Vulcan Platform: Partner with Product and Design to build intuitive frontend interfaces (React, Next.js) for dashboards, configuration consoles, and visualization tools. Backend Services APIs:Develop and maintain the essential APIs (FastAPI/Python) and microservices that power the Vulcan platform. Architect robust task execution systems using Message Queues (Celery, RabbitMQ) to handle long-running asynchronous AI inference tasks. Internal Tooling Ecosystem: Build frontend and backend tools that accelerate internal teams (Project, ML/AI), including configuration panels, data visualization pipelines, and evaluation interfaces. Guardrails Security Features: Implement backend services for AI guardrails (content moderation, prompt filtering) and automated adversarial testing pipelines. 2. GenAI Agent Logic Engineering Prompt Engineering as Code: Treat prompts as software logic. Lead the design and implementation of AI Agent behaviors, optimizing responses through structured Prompt Engineering techniques. Agent Workflow Design: Orchestrate complex, multi-step LLM workflows where the "application logic" involves chaining model interactions effectively. Response Handling: Design robust parsing and validation mechanisms to ensure raw model outputs are converted into structured, usable application data. -

Our Product Vulcan is a cybersecurity solution specifically designed for GenAI, offering two core services: Red Team (vulnerability assessment) and Blue Team (real-time defense). It ensures GenAI compliance, cybersecurity robustness, and operational integrity. Since its official launch in 2024, Vulcan has been recognized by the international standard-setting organization OWASP as a certified vendor for LLM GenAI security testing and assessment. It is one of the few solutions capable of supporting multiple Asian languages (Traditional Chinese, Simplified Chinese, Japanese, Korean, Thai) and Standard Arabic.Learn more about us 👉 Vulcan product: https://vulcanlab.ai/Vulcan LinkedIn: https://www.linkedin.com/company/vulcanlab-ai/AIFT group: https://aift.io/Tech Blog: https://medium.com/onedegree-tech-blogAbout the roleWe are looking for a talented Machine Learning Engineer to join our Product Core Engineering team. You will be responsible for building and optimizing machine learning workflows that directly power our AI-driven products. This role focuses on the full lifecycle of model development — from training and fine-tuning to deployment and monitoring — ensuring robust and efficient ML systems at scale. Why Join Us?Product Impact: Your work will be directly embedded in our core AI products, shaping user experience and product capabilities.Engineering Excellence: Be part of a team that values high-quality engineering, reproducibility, and scalability.Innovation: Opportunity to experiment with cutting-edge ML and GenAI technologies in production settings.Collaboration: Work alongside backend, platform, and product teams in a highly collaborative environment.Competitive Package: Receive attractive compensation and benefits aligned with your skills and performance. Key Responsibilities Model Development: Design and implement training processes for machine learning classifiers and generative models.Fine-tuning Prompting: Adapt pre-trained models to specific product needs through fine-tuning, prompt engineering, and parameter optimization.Hyperparameter Management: Configure and tune hyperparameters to balance accuracy, robustness, and performance.Pipeline Engineering: Build scalable training and evaluation pipelines to support continuous experimentation.Integration: Collaborate with backend and product engineers to deploy models into production systems.Monitoring Maintenance: Establish monitoring metrics and retraining strategies to maintain model performance in dynamic environments. -

Our Product Vulcan is a cybersecurity solution specifically designed for GenAI, offering two core services: Red Team (vulnerability assessment) and Blue Team (real-time defense). It ensures GenAI compliance, cybersecurity robustness, and operational integrity. Since its official launch in 2024, Vulcan has been recognized by the international standard-setting organization OWASP as a certified vendor for LLM GenAI security testing and assessment. It is one of the few solutions capable of supporting multiple Asian languages (Traditional Chinese, Simplified Chinese, Japanese, Korean, Thai) and Standard Arabic. Learn more about us 👉 Vulcan product: https://vulcanlab.ai/Vulcan LinkedIn: https://www.linkedin.com/company/vulcanlab-ai/AIFT group: https://aift.io/ About the role We are seeking an experienced Machine Learning Lead to helm our Machine Learning team.In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team).Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction. Key Responsibilities1. Model Development Optimization (Training Fine-tuning): Research to Production: Collaborate with the Security Research Team to operationalize new threat detection techniques. They identify the "what" (e.g., new prompt injection patterns); you determine the "how" (model architecture, training strategy). Fine-tuning Adaptation: Lead the fine-tuning of Language Models (e.g., using LoRA/PEFT) to optimize for our supported muti-lingual languages and specific security intents. Multimodal Readiness: Prepare the system for Multimodal (Text + Image/Audio) capabilities. Evaluate and implement models to detect visual prompt injections and non-textual threats as the product evolves. 2. MLOps Data Infrastructure: Enhance Scale MLOps: Take ownership of our existing ML pipelines. Focus on optimizing and scaling CI/CD/CT workflows to improve training efficiency and deployment velocity. Data Governance: Implement and enforce rigorous Data Versioning strategies (e.g., DVC) to ensure complete reproducibility of model artifacts and datasets. Monitoring Reliability: Maintain rigorous monitoring for model drift and performance, ensuring high reliability in a production security environment. 3. Cross-Functional Implementation Leadership: Platform Collaboration: Work closely with the Platform Engineering Team to integrate ML models into the broader product architecture. Ensure seamless interaction between model inference services and the main platform logic. Team Leadership: Lead and mentor Machine Learning Engineers, fostering a culture of engineering rigor, code quality, and operational excellence. Resource Management: Manage GPU resources and compute budgets effectively for both training and inference workloads. 4. Technical Strategy Stakeholder Management: Translating Tech to Business: Act as the technical voice of the ML team. You must effectively explain complex ML concepts (e.g., FLOPS, quantization trade-offs, model latency vs. accuracy) to executive leadership and clients. Cost-Benefit Analysis: Justify compute resource investments. Articulate the trade-off between infrastructure costs (GPU hours) and performance gains to non-technical stakeholders. -

MoMo is the market leader in mobile payments in Vietnam. We strive to make all transactions fast, easy and joyful. We are looking for an experienced AI Engineer to join our growing Big Data AI team. At MoMo, we make AI/Machine Learning the core component to almost every part of the product - product recommendation, personalization, conversational AI, eKYC, risk scoring, fraud detection, promotion targeting and financial services. As a Senior AI Engineer, you will play a leading role in developing our Customer Service Chatbot system, delivering intelligent and seamless support experiences to millions of users.Mô tả công việcDesign, build, and optimize LLM-powered chatbot systems for customer service at scale;Develop and implement RAG (Retrieval-Augmented Generation) pipelines, prompt engineering strategies, and agentic workflows for domain-specific performance;Architect conversation flows, intent handling, and dialogue management systems that handle complex multi-turn interactions;Build evaluation frameworks and monitoring systems to measure chatbot quality, detect hallucinations, and ensure response accuracy;Collaborate cross-functionally with product, customer service operations, and engineering teams to continuously improve chatbot capabilities;Write production-grade code and maintain robust, scalable AI systems serving millions of users;Stay current with LLM advancements and evaluate new models, techniques, and tools for potential adoption.Yêu cầu công việc5+ years of experience as an AI Engineer, with at least 2 years focused on LLM applications or conversational AI systems;Deep understanding of LLM architectures, capabilities, and limitations (GPT, Claude, LLaMA, etc.);Experience building chatbot or virtual assistant systems, particularly for customer service use cases;Fintech domain experience is a strong plus;Proficiency in RAG systems, vector databases, embedding models, and prompt engineering techniques;Strong software engineering skills in Python. Experience with LLM tooling (LangChain, LlamaIndex, etc.);Experience with system design for high-availability, low-latency services;Familiarity with evaluation methods for generative AI systems and conversation quality metrics.

We’re building a next-generation Search experience that understands intent, retrieves information intelligently, and helps users complete tasks with the support of ML and LLM workflows. As a Search Senior Product Executive, you’ll work across Product, Engineering, and Data teams to improve relevance, quality, and emerging agentic capabilities.Mô tả công việcAnalyze search behavior, identify failure patterns, and drive improvements in query understanding and relevance.Collaborate with ML/DS teams on retrieval (embeddings, vector search, ranking) and LLM-driven components (rewriting, semantic scoring, evaluation).Support agentic search workflows involving tool/function calling and multi-step task completion.Maintain and improve structured data powering search entities and metadata.Write product requirements, support experimentation (A/B tests), and monitor key KPIs such as success rate, relevance, CTR, and latency. Yêu cầu công việc2-3 years experience in Search in B2C products.Experience of ML/LLM workflows and ability to work with technical teams.Experienceto agentic systems or multi-step workflow design and evaluation.Strong analytical skills;experience with experimentation and metrics evaluation.Strong UX sense for simplicity and efficiency.Clear communication, structured thinking, and strong problem-solving skills.

在 Canner，我們正在打造突破性的 AI 與數據基礎架構解決方案，讓數據不再只是靜態資產，而是企業決策的核心動力。加入我們的研發團隊，你將參與開發和推動 Wren AI (https://github.com/Canner/WrenAI)。 Wren AI 是 Canner 的旗艦開源專案，讓大型語言模型 (LLM) 能夠直接查詢企業數據，為 AI Agent 提供精確的語意查詢能力。我們的開源庫已連續數週蟬聯 GitHub Top Trending，目前累積將近 10k+ 顆星，成為全球主流的 GenBI 解決方案。這代表了全球開發者對這項技術的高度認可與需求。 如果你熱衷於大規模 AI 應用，想與國際企業合作，服務全球使用者，學習跨國客戶需求與專業標準，這將是參與業界最前沿技術發展的絕佳機會。 職責 (Responsibilities) 作為客戶與使用者的技術支援窗口，接收、排查、診斷與解決與 Wren AI 平台／API 部分相關的技術問題 處理使用者透過 chat / email / ticket /遠端會議所反饋的問題，包括自然語言查詢錯誤、SQL 生成功能異常、圖表／報表顯示問題、API 回傳錯誤等 與研發 (Product / Engineering) 團隊協作，回報 bug，追蹤 issue，協助測試修復版本與新功能 撰寫與維護技術文件、常見問題 (FAQ)、教學指南 解決方案範本，以提升支援效率與品質 協助客戶完成產品 / 功能上線、部署流程及設定，包括資料來源連接 (databases, data warehouses etc.) 的配置與驗證，以及 AI model 的配置與驗證 在服務水平協議 (SLA) 範圍內追蹤與回覆客戶請求，確保問題得到及時回應與解決 分析支援案例中常見的問題類型與趨勢，提出改進方案，協助團隊提升產品穩定性與使用者體驗

GenAI 技術理解與應用: 熟悉 LLM、RAG、embedding、fine-tune、prompt engineering 等 genAI 相關技術方法。1.資料分析與演算法/模型優化: 能處理自然語言, 影像及數值類等多模態數據, 具備應用向量資料庫、rerank 技術, 並能進行效能分析與改善。2.系統與平台建置: 具備雲端或地端部署經驗, 熟悉 Kubernetes/Docker, 能開發與整合 GenAI 平台或 workflow 工具 (如 n8n , dify,langflow)。3.軟體工程與架構設計: 具備良好工程基礎, 熟悉 API 開發、模組化設計、CI/CD，自動化測試與維運。4.自動化與流程整合: 具備 RPA 或流程自動化經驗與影像處理AOI經驗, 能將 GenAI 技術串接內部系統與業務流程。

請至均一網站投遞此職缺 工作內容與職位需求 工作內容 後端系統開發與維運：設計與實作 JUTOR AI 英文家教平台的後端服務、資料模型與 API；維護 Hexagonal Architecture，確保系統穩定、可測試、可維護。AI 功能整合：串接 OpenAI API，開發 AI 驅動的學習功能（作文批改、口說對話、聽力練習等）；運用 Langfuse 進行 Prompt 版本管理與效果追蹤。前端功能支援：使用 Next.js + React 開發學習模組 UI，串接後端 API，改善使用者體驗。Vibe Coding 正規化：接手團隊中非工程夥伴使用 AI 工具（如 Claude Code）開發的 MVP 原型，理解其市場洞察，並將其正規化為可維護、可擴展的產品功能 工作優缺點（來自內部夥伴的心聲） 優點 1. 小而精的產品團隊（1 PM + 1 前端 + 1 後端），決策快、迭代快 2. 技術架構現代化：Next.js 15、React 19、Python 3.12、Litestar、Hexagonal Architecture 3. AI 原生產品，深度整合 LLM 的教育應用，不只是表面功能 4. 團隊擁抱「Vibe Coding AI Agentic Coding」文化，支持善用 AI 工具提升效率 5. 重視程式碼品質：code review、自動化測試、CI/CD 完整流程 6. 做有意義的事：幫助台灣國高中生用更好的方式學習英文 7. 親子友善，具備遠端工作的彈性 挑戰 1. 團隊規模小，需要獨立作戰、一人多工 2. 需要適應「從 MVP 到正規化」的開發流程，接手非工程師產出的原型 3. 沒有壁壘分明的職責界線，需要在模糊的環境中展現主動積極的特質 能力要求 必要條件 1. 具有 3 年以上後端開發經驗，能獨立完成功能從設計到上線 2. 熟悉 Python 或同等主流語言，能快速上手現代 Web 開發框架 3. 具備 GCP 或 AWS 等雲端部署經驗，理解容器化與 CI/CD 4. 擅長寫測試自動驗證、code review，重視程式碼品質 5. 已經在用 AI 工具提升開發效率（Copilot、Claude、Codex 等），不是「有興趣學」 加分條件 - 熟悉 Hexagonal Architecture 或 Clean Architecture - 具有 LLM 應用開發經驗（Prompt Engineering、Agent Skills） - 熟悉 Next.js / React，能支援前端開發 - 具有 EdTech 產品經驗，或對教育議題有長期關注 人格特質 能在模糊中找到方向，不需要等待完整規格開放的態度，願意接手別人的產出，先理解再優化對「讓學習更好」這件事有基本的認同感 工作待遇 薪資範圍 月薪 60,000 元至 85,000 元，實際薪資依面試結果而定。 福利待遇 除勞基法規範應有假別，入職即享有第一年 4 天特休假，並且每年度皆有 3 天全薪事假 + 3 天全薪家庭照顧假。每人每年 5,000 元學習補助；辦公室隨時補充新書。入職即享有兩年一次的 6,000 元健康檢查補助。支持夥伴的心理健康，夥伴可定期申請「均陽全人關懷輔導教育協會」的協談服務，由組織提供支持。關心夥伴工作以外的生活，提供婚、喪、生育津貼。每年一次國內兩天一夜員工旅遊、一次春酒或尾牙，保證不談工作，只有吃喝玩樂！ 工作模式＆環境 表定上班時間為週一至週五 10:00 - 19:00，在信任夥伴當責的前提下，可自由規劃彈性工時。混成式辦公盛行，只要與協作團隊有共識，夥伴能自由選擇辦公地點，遠距也能保持高效！（進辦頻率以各職務面談討論為準）辦公室位於總統府旁，捷運西門站步行 3 分鐘，生活機能便利。正職夥伴入職即可申請電腦採購，不需自備工具。以 Slack 作為主要溝通工具。每月一次「均一日」，與大家輕鬆吃吃喝喝，分享彼此的工作里程碑！每季一次 Team Building 補助，與同組夥伴定期聚聚！ 團隊文化 高度彈性、成長思維的敏捷團隊，重視四大核心價值觀「誠信、多元、恆毅力、推論與成果導向」；決策的思考以使用者（學生、教師、親屬）能否被有效協助為優先考量。組織扁平透明誠信，鼓勵不同想法的激盪；尊重每個人的專業，鼓勵「用愛心說實話」，努力創造橫向、上下都暢通的溝通管道。每半年一次 Review，與 mentor、密切協作的夥伴一起回顧一年的成長與挑戰，給彼此最棒的回饋。 申請方式 請至均一網站投遞此職缺 申請準備資料 履歷LinkedIn作品集 (GitHub、Blog)（加分）任何展現你「務實地用 AI 加速開發」的案例申請流程 申請流程 書審：填寫申請表單，讓我們對你有初步的認識。一面前導聊聊筆試：收到申請資料後，在進入面試前，和 CTO 快速的線上聊聊。兩次面試：我們會主動通知是否進行實體面談；面談將進行至少 2 次，通過後，你將和一群志同道合的夥伴一起發揮社會影響力！ 通知時程 不論書審結果為何，我們將盡快以電話或電郵聯繫回覆，請留意來電以及收件。若於二週內未收到回覆，請來信提供大名、申請職位確認。 請至均一網站投遞此職缺 了解更多均一人故事 是否該將系統升級？工程師該怎麼推動基礎建設？—— 一場花費四年推動的系統升級（Python2-3） 用科技長才，成就自己與他人——專訪均一教育平台軟體工程師 Eva 打破框架的職涯發展道路 — 專訪軟體發展組夥伴 Justin、Eva 不只「教學」能幫助教育，我在均一走上教育 x 科技的軟體工程師之路—— 專訪軟體工程師宜陞 軟體專業 + 教育意義，我認為是完美結合 —— 專訪前 Mozilla 主管、現任均一軟體 leader 先祐在非營利組織實踐創業之路——專訪均一教育平台總監 YoungHello World ! 均一軟體組開發流程介紹建立前端開發準則，讓團隊能夠有效率的開發好維護的程式碼 —— 均一前端工程師宜陞技術分享更多故事請見 均一部落格

【職務說明｜你將扮演的角色】 在這個職位中，你不是單純「使用 AI 工具的人」，而是協助公司把 AI 真正落地、轉化為效率與商業價值的關鍵推動者。 你將站在組織核心位置，與各部門密切合作，從理解業務需求出發，導入並設計 AI 解決方案，協助團隊提升工作效率、優化流程，甚至發掘全新的業務機會。 這是一個高度影響力、能直接改變公司運作方式的角色。 【工作內容】 - 協助企業規劃、推動與落地 AI 專案，將 AI 應用於提升工作效率、優化內部流程與創造業務機會。 - 與各部門（營運、業務、行銷、美術、編輯單位等）進行大量跨部門、跨職能溝通，梳理實際需求並轉化為可行的 AI 解決方案。 - 實際操作並導入各類 AI 工具與管理 AI 專案，協助團隊建立可複用的 AI 工作模式。 - 設計與優化 Prompt，讓 AI 工具在不同場景下發揮最大效益。 - 建立與部署自動化工作流程（如 n8n、Make 等），降低重複性人工作業，提升整體組織效率。 - 持續關注 AI 與自動化趨勢，主動學習並評估新工具、新技術的應用可能性。 【必備能力】 - 具備 AI 工具實際操作經驗（文字 / 圖片 / 影片），熟悉並能靈活應用。 (不限於 Gemini、ChatGPT、Claude 等平台) - 了解並能實際運用 Prompt Engineering，能針對不同需求設計有效提示詞。 - 具備 良好的溝通與協調能力，能與不同部門、不同角色有效對話。 - 具備 自動化工作流部署經驗（如 n8n、Make 等），理解流程設計邏輯。 - 具備 高度自主學習能力，能在快速變動的 AI 領域中持續成長。 【加分條件｜如果你還具備這些，會非常加分】-附上AI作品集，如：自動化工作流、Vibe Coding作品等。 - 具備程式開發能力，並有 調用 LLM API 的實務經驗。 - 熟悉或使用過 GCP、AWS 等雲端平台。 - 具備 專案管理經驗，能掌握進度、協調資源並推動專案完成。 想看看巨思文化辦公環境和工作真心話嗎？ 直擊｜開箱巨思文化新辦公室！夥伴：混合辦公交流自由，彈性高效率高 https://www.managertoday.com.tw/articles/view/66475