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【Hour Loop 飛輪電商】在2013年成立，並於2022年初在美國那斯達克上市。作為亞馬遜 (Amazon) 第三方賣家，我們的工作不只廠商開發，還包括商品上架、價格制定，以及物流與庫存管理，通通一手包辦。 在百萬競爭對手中，我們透過獨特的營運模式，成功實現十年來的持續成長，並脫穎而出，在2022年底躍升為亞馬遜 (Amazon) 前十名的賣家！ 我們提供彈性且暢通的職涯管道，不綁年資，端看績效表現，從「獨立貢獻者」到「管理職」適性發展！如果你喜歡打磨自身專業能力，鑽研獨立的工作項目，便適合獨立貢獻者的角色；若你有準確遠見，善於溝通和帶領團隊，你可能就是未來的帶人主管！ Job Description 1. Analyze market sales data and seasonality to discover potential products. 2. Assist senior business managers in developing purchasing strategies to maintain inventory levels. 3. Track the sales performance of products. 4. Calculate the potential profits of products to provide the best purchase advice. 5. Maintain product profit margins through pricing strategies. 6. Improve workflows by collaborating with teams to design scalable, efficient solutions through data analysis and automation 7. Use data-analysis tools (e.g., SQL, Python, R Language) to identify root causes and validate ideas Requirements Improve workflows by collaborating with teams to design scalable, efficient solutions through data analysis and automation Use data-analysis tools (e.g., SQL, Python, R Language) to identify root causes and validate ideas Strong problem-solving skills

職責： 制定、執行並維護適用於 Web 應用程式和 API 的測試計劃、測試案例及測試腳本，並撰寫詳細的錯誤報告。與開發人員和產品經理合作，識別、記錄並解決缺陷。執行功能測試、回歸測試、整合測試及效能測試，涵蓋後端、前端及雲端系統。自動化重複性測試案例，以提升測試效率與覆蓋範圍。監控並分析測試結果，確保軟體符合品質標準。提供回饋並建議改善軟體開發生命週期。理解並分析現有產品與新功能。 Responsibilities: Develop, execute, and maintain test plans, test cases, and test scripts for web applications and APIs create detailed bug reportsCollaborate with developers and product managers to identify, document, and resolve defects.Perform functional, regression, integration, and performance testing across backend, frontend, and cloud-based systems.Automate repetitive test cases to improve efficiency and coverage.Monitor and analyze test results, ensuring software meets quality standards.Provide feedback and suggest improvements to the software development lifecycle.Understand and analyze the existing product as well as new features

We are looking for a Software Engineering Team Lead to join our technology team and help shape the systems that support our fast-growing e-commerce business. This role is ideal for someone with at least 5 years of software development experience and a strong interest in team leadership, scalable systems, and cloud technologies. Responsibilities: 1. Design and develop internal systems that support business operations and meet employee needs 2. Work closely with business and operations teams to understand requirements, define clear specifications, and ensure smooth project delivery 3. Lead and support a team of engineers, sharing knowledge and promoting best practices in software development 4. Build scalable and reliable solutions using cloud services such as AWS or Google Cloud 5. Monitor system performance, troubleshoot issues, and make improvements as needed 6. Follow development guidelines, ensure testing coverage, and maintain code quality 7. Oversee ongoing system maintenance and optimization to support daily operations Requirements: 1. 5+ years hands-on experience in software development 2. Proficiency in at least one object-oriented programming language such as Java, Python, C++, or C# 3. Experience with cloud platforms like AWS, Google Cloud, or similar 4. Strong communication skills and the ability to collaborate across teams 5. Proven ability to lead or mentor engineers in a team environment 6. Comfortable working in a fast-paced e-commerce setting and open to learning new tools and technologies Technologies we used but are not limited to: 1. Frontend: HTML, JavaScript 2. Backend: Ruby on Rails, Python 3. Database: MySQL 4. Cloud Computing Services: AWS, GCP

我們的遊戲系統是一個提供夢幻體育（Fantasy Sports）遊戲的系統。我們會與世界各大體育聯盟合作，以球員在場上的真實表現與玩家挑選球員的眼光來進行遊戲。因此，遊戲流程的呈現、資料的即時性與正確性在遊戲系統中是不可或缺的。歡迎對開發與維護高品質系統與網站有自信的你加入，成為團隊一份子！• 分析並設計遊戲系統與API服務（含單元測試）• 設計並撰寫分散式運算服務• 撰寫部分前端功能（Pair Programming）• 公開 Review 同事的程式• 自動化部署與維護• 對現有設計提出改善意見

關於Quid（NetBase美商網基品牌） 總部位於矽谷，Quid是一家快速成長且充滿創業精神的公司。在全球社群媒體分析平台上，我們處於世界領先地位！ 我們將網際網路上的資訊，如 Facebook 貼文、Instagram圖片、 YouTube留言、Twitter 、各大新聞、消費者評論、產品評論、業務文檔，再到專利申請和論壇等數據，透過匯總、分析並經由最尖端的文字分析技術、自然語言處理技術(Natural Language Processing)及電腦視覺(Computer Vision)分析之後，幫助客戶從數據中取得有價值的資訊，透過我們的工具及服務，客戶可以更快速、更全面地了解市場趨勢、競爭對手、消費者偏好等，能制定更有效的營銷策略和商業決策，從而在市場中佔有更大的優勢。 In this ML Engineer Intern role, you will work closely with product teams to tackle AI problems in content discovery, text mining, and data analytics, with projects such as: Design and refine prompt strategies to improve social post classification and enhance NLP performance.Enabling user-driven customizations, e.g. with transfer learning.Correlating natural language data with business metrics.Discover topics of conversation across billions of social media posts. 【Responsibilities】 You will use LLM technology to build intelligent pipelines that extract insights from large-scale text data and power search features in Quid’s AI-driven products.You will be part of the team to design and implement serving architectures for large language models, ensuring scalability, reliability, and optimal performance.You will be coding in Python, applying CI/CD in software development, and deploying software to containerized applications.You will be working closely with machine learning engineers to understand the challenges of model usage, product requirements, and provide tools or solutions to help engineers address the problems.

工作內容： 開發並維護穩健且可擴展的 RESTful API，以支援各種應用程式和服務。優化與提升後端流程，以提高效能與效率。撰寫並維護後端服務的技術文件。與跨部門團隊合作，包括前端工程師、QA測試人員及產品經理。增強和優化資料處理管道以提高效率和效能。 Job Requirements Develop and maintain robust and scalable RESTful APIs to support various applications and services.Optimize and enhance backend processes for better performance and efficiency.Write and maintain technical documentation for backend services.Collaborate with cross-functional teams, including frontend engineers, QA, and product managersEnhance and optimize the data processing pipeline to improve efficiency and performance.

Aimazing is looking for a Product Owner to lead Aimazing into the future of the offline retail space. We are looking for a Product Manager to lead all aspects of Aimazing: from working with customers to solve their problems to scaling operations at a global scale. If you are the type of person who loves systems thinking, wrangling complexity, and strategic product development, this is the role for you. Responsibilities In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worldsYou can break down complex problems into steps that drive product developmentImmerse Yourself with Customers Partners: Engage directly with users to develop firsthand insights into their challengesConduct deep user research and market analysis to identify unmet needs, product gaps, and new growth opportunities within this segmentAnalyze product metrics and user feedback to iterate on features, measure success, and inform future product decisionsLeverage cutting-edge AI to craft experiences that dramatically outperform traditional approaches, setting new standards for what's possible and intelligent data processingYou'll connect every technical decision directly to measurable outcomes, leveraging AI tools yourself to accelerate processes and create competitive differentiation in the market

- 職務說明 因應未來業務拓展、規劃，嘗試各種資訊解決方案設計、建置與維護 GCP 雲端基礎設施 (GKE, GCE, Cloud SQL 等)，並專注於其可靠性、擴展性根據利害關係人或同事提出的問題，提供專業的意見，並協助解決問題與公司內部決策者合作，了解其目標，研究並提供解決方案管理 CDN、DNS 等網路基礎服務，確保外部連線的穩定與快速監控、告警與日誌系統的建置與優化CI / CD 設定與維護新技術研究簡單的電腦設備管理

建構與優化機器學習模型: 運用多維度運動數據（如賽事數據、球員表現），開發球員薪資計算、表現預測等核心模型，並持續進行優化。 支援產品與行銷決策: 深入分析用戶行為與市場趨勢，提供數據洞察，協助產品團隊優化功能、支援行銷團隊制定精準策略。 整合生成式 AI 應用: 導入並開發生成式 AI 功能，例如自動化產出運動新聞與球員動態，豐富產品內容。 提升內部數據工作流程效率: 運用 AI 技術優化資料處理、分析與建模的流程，提升團隊整體開發效率。

【你的任務】 主要工作： 我們是非常扁平化的公司，歡迎主動提出你想學習或參與的專案或是工作內容👍比起單純在履歷上多了一行文字或只來走馬看花，更希望你在這裡真的有所成長！ 這份實習主要是向核心受眾——正在規劃出國行程的旅客，推廣 FunNow 日本、泰國地區的商品，以下是你成為我們的夥伴後的工作內容： 50% 行銷內容規劃、產出：發想、產出吸引旅客的中文社群內容（Instagram、Threads），包含製作設計需求、文案撰寫與社群平台營運30% 短影音腳本撰寫：根據影音素材與店家資訊撰寫開箱影片腳本20% 行銷素材設計：使用設計軟體製作站內外視覺素材 你會學習到： 國際團隊協作與行銷：與來自臺灣、日本、泰國、馬來西亞的當地團隊溝通合作，實際參與擬定行銷與產出內容的過程內容企劃：針對受眾需求結合，規劃相應社群行銷內容，透過自己的雙手來創造流量與轉換數據分析：分析第一手的行銷數據，學習業界最常監測的指標數據與優化方式活用 AI 工具：將 AI 工具應用在實際產出，與團隊成員交流 prompt 的使用與優化方式