Cake 找工作

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。

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 Software 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 Software Engineer specializing in Natural Language Processing (NLP), you will play a pivotal role in crafting and deploying advanced conversational AI systems. This position offers a unique chance to make a significant impact by leveraging Generative AI and Large Language Models to transform interactions for millions of users. Join us in pushing the boundaries of AI technology and shaping the future of mobile payments in Vietnam.Mô tả công việcDevelop and Implement Conversational AI Solutions: Design, build, and maintain advanced conversational AI systems that enhance user interactions, utilizing cutting-edge NLP technologies and Generative AI.Contribute to System Architecture: Participate in the design and architecture of systems and infrastructure, ensuring robustness and scalability.Maintain High Standards of Code Quality: Write clean, maintainable, and efficient code in Kotlin and Python, and participate in code reviews to uphold the team's quality standards.Collaborate with Cross-Functional Teams: Work closely with product managers, data scientists, and other engineering teams to integrate AI-driven features into our platform, ensuring seamless user experiences.Yêu cầu công việcWhat we are looking forStrong Problem-Solving Skills: You have a proven track record of tackling complex technical challenges and delivering effective solutions, particularly in the realm of AI and machine learning.Ownership and Proactivity: You take initiative and are driven to see projects through from start to finish. You are someone who can be relied upon to deliver results with minimal supervision.Backend Engineering Proficiency: Minimum 5 years of experience as a Software Engineer, with strong skills in backend languages like Kotlin, Python, Java, or Go.High Standards for Quality: You take pride in your work and strive to deliver solutions that are not only functional but also maintainable and scalable.BenefitsCompetitive compensation package.Performance-based bonus.Insurance package.Chance to work with many strong people with international experience.

AI Engineer with full-stack capabilities in Computer Vision and NLP, supporting the building, testing, and deployment of machine learning models and algorithms. The role works closely with senior engineers and cross-functional teams (product, marketing, data science) to integrate AI features into user-facing products and internal tools. Responsibilities also include improving AI pipeline performance, monitoring and evaluating deployed AI systems in operation, and assisting in the development of AI-powered internal tools such as assistant bots for content generation, marketing workflows, and other internal processes.Mô tả công việcDevelop and test AI-driven features in collaboration with the senior engineering team, focusing on marketing tools, user engagement, and automation products.Assist in building and improving internal AI tools, such as bots for content generation and workflow automation, to enhance team productivity.Support the deployment and maintenance of machine learning models and ensure their effectiveness in production environments.Continuously monitor AI systems and suggest improvements based on user feedback and system performance.Work in an agile environment, participating in sprint planning, development, and testing cycles.Yêu cầu công việcBachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, or a related field.Basic understanding of AI/ML concepts and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.Proficiency in programming languages like Python, with a solid understanding of coding practices and principles.Familiarity with data manipulation and analysis tools (e.g., Pandas, NumPy).Familiarity with cloud platforms (AWS, GCP, Azure) is a plus.Strong analytical and problem-solving skills, with a willingness to learn and adapt to new technologies and challenges.Good communication skills and the ability to work collaboratively within a teamExperience with project about Computer vision and NLP

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 QC/QA Engineer to join our growing technology team. At MoMo, we build innovative solutions across product recommendation, personalization, conversational systems, eKYC, risk scoring, fraud detection, promotion targeting and financial services. As a QC/QA Engineer specializing in Natural Language Processing (NLP), you will play a pivotal role in ensuring the quality, reliability, and performance of our advanced conversational AI systems. This position offers a unique chance to make a significant impact by developing comprehensive testing strategies for Generative AI and Large Language Models, ensuring seamless and accurate interactions for millions of users. Join us in maintaining the highest standards of quality while pushing the boundaries of AI technology and shaping the future of mobile payments in Vietnam.Mô tả công việcCreate/Modify test-related artifacts (test cases, test report, test plans).Track and control testing progress, and report to TL about any quality problems/issues of the project.Perform all phases of testing including functional, system and regression testing.Participate in peer review and inspect requirement documents.Prepare test data and environment as needed to complete testing assignments.Have a proactive and good work relationship with other team members.Analyze and raise the issues, propose the solution to improve the system.Yêu cầu công việcDegree in Computer Science or related fields5+ years experiences in manual test Web, App MobileExperience in QC of highly scalable, distributed and high-performance applications as APIs, Adhoc Test.Ability to hands-on testing in multiple projects, Integration Test and developing test cases, test planHave knowledge and experience in API testing (Postman tool), Query Databases, Performance test (Jmeter)Good knowledge of databasesGood knowledge of software development methodologiesGood analytic skills and mindsetMotivated and ability to work overtimeTeamwork spiritExperience in automation testing for web apps, mobile is a big plus.

關於 Wren AIWren 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。 工作內容行政庶務處理日常文書作業、文件歸檔與管理管理辦公室用品採購與庫存接待訪客、處理電話與郵件往來辦公環境維護管理主管行政支援協助 CEO 與 CTO 安排會議與行程處理中英文郵件往來協助聯繫國內外廠商與客戶會議記錄與後續事項追蹤活動規劃執行規劃與執行公司活動（春酒、員工旅遊、節慶活動等）活動預算控管與廠商聯繫財務行政協助處理報帳、發票與收據管理供應商付款流程協調人事協助新進員工報到流程協助員工出勤紀錄維護協助招募行政作業其他跨部門溝通協調主管交辦事項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 expansionWhat You’ll DoAdministrative Operations Handle daily documentation, filing, and document management Manage office supply procurement and inventory Welcome office visitors, answer phone calls and manage email correspondence Maintain office environment Executive Support Assist CEO and CTO with meeting and schedule coordination Handle correspondence in both English and Chinese Assist in communication with domestic and international vendors and clients Meeting minutes and follow-up action item tracking Event Planning Execution Plan and execute company events (annual banquets, team outings, holiday celebrations, etc.) Manage event budgets and vendor communications Financial Administration Assist with expense reimbursements, invoice and receipt management Coordinate vendor payment processes HR Support Assist with new employee onboarding processes Maintain employee attendance records Support recruitment administrative tasks Other Cross-departmental communication and coordination Tasks assigned by management

1. Utilize advanced algorithms and data mining techniques to build personalized recommendation systems, optimizing product and service recommendations to enhance user experience and improve business conversion rates.2. Conduct precise analysis of probability distributions in casino games, develop and validate mathematical models to ensure game fairness and risk control, supporting compliance operations and decision-making.3. Continuously explore and implement various applications of LLMs in business, from natural language processing to intelligent customer service and content generation, driving enterprises toward intelligent transformation.4. Work closely with various business units, leveraging data analysis and visualization tools to promote a data-driven decision-making culture, helping departments uncover insights from data and develop effective strategies.

關於我們 我們是一間獲獎無數、Google 官方認證的 AI 雲端技術合作夥伴，專注於人工智慧影音生成 (AIGC) 技術。核心技術結合了自然語言處理 (NLP) 與電腦視覺，能將文字自動轉化為高品質影片。目前已獲得頂尖國際創投資金挹注，客戶涵蓋台灣、日本、大中華區的知名電視台與大型媒體集團。 為什麼這個職位值得你挑戰？ 這不是一個單純代操預算的投手職位。我們正在啟動全新的商業模式：AI 影音 x 電商導購。利用我們的 AI 技術製作影片，投放於電商平台並創造營收。 產品影響力：你將與 Google 認證級的雲端技術專家、AI 科學家並肩作戰，你的市場投放數據，將直接影響 RD 團隊如何優化演算法國際舞台：初期目標鎖定月流量 3 萬以上的電商客戶，並積極拓展日本市場 核心任務 這是一個高度Data-Driven的角色，你需要兼具行銷敏銳度與邏輯分析能力： 廣告策略操盤負責 Google Ads 與 Meta (FB/IG) 的全盤操作、監控與優化針對目標市場制定投放策略，推廣 AI 影片廣告生成產品數據分析與優化極度重視 ROI 與 ROAS。每日監測數據，從財經或流量報表中找出破口，獨立調整預算配置跨部門技術協作每週參與工程團隊 (RD) 會議，與技術主管緊密合作將市場端的廣告反饋轉化為具體需求，協助技術團隊優化產品功能與演算法素材優化建議分析不同 AI 影片素材的廣告成效，回饋給設計或 AI 團隊以提升點擊率 (CTR)

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Engineering, Computer Science, or equivalent practical experience. 5 years of experience with software development and programming languages in C, C++. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience working with embedded operating systems. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 2 years of experience in a technical leadership role. Experience in developing hyperscale, server platform design, firmware development or system architecture. Experience with BIOS, Kernel, and Firmware quality test. Excellent problem-solving, and communication skills. About the jobGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. In this role, you will bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, Artificial Intelligence (AI), natural language processing (NLP), UI design and mobile, the list goes on and is growing every day. You will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and the fluid business grow and evolve. You will anticipate the customer needs and be empowered to act like an owner, take action and innovate. You will need to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as Google continues 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 Lead the design, development, and implementation of a scalable and high-quality cloud server program, and oversee the project from conception to launch. Own extensive technical knowledge of firmware design, kernel development, and server system integration, and influence the ecosystem. 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. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. 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.

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)

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages: Python, Java, or C++. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other machine learning disciplines. Experience working as Technical Solution Architect in a cloud computing environment or a customer-facing role. Ability to communicate in English and Japanese fluently to support client relationship management in this region. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures/algorithms. Experience with building AI and machine learning solutions, Machine Learning Operation frameworks like Kubeflow, and leveraging machine learning architectures (e.g., deep learning, LSTM, etc.). Experience architecting and developing software or infrastructure for distributed systems and with machine learning technologies. Understanding of AI Models, Large Language Models, AI specialized infrastructure and AI practice. Ability to learn, understand, and work with new technologies, methodologies, and solutions in the Cloud/IT technology space. 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.With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The Google Cloud Platform Generative AI team helps customers unlock their potential with AI. As part of an entrepreneurial team in this growing business, you will help shape the future of businesses of all sizes using AI and ML. You will apply expertise in implementing and deploying Generative AI (GenAI) solutions.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers. Provide AI expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud. Support developers, creators, and enterprises to leverage Google’s Generative Language APIs so they can build their own AI products in the future. Travel to customer sites, conferences, and other related events as needed. 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.