Cake 找工作

集團簡介 MaiCoin 集團為台灣交易量最大，且唯一具備區塊鏈技術公司之數位資產領導品牌，成立於 2013 年，是台灣虛擬通貨產業之先鋒，致力透過區塊鏈底層技術與虛擬通貨應用等，推動數位資產主流化，提供大眾安全與多元的選擇，目前主要提供數位資產交易、數位資產延伸產品服務與企業區塊鏈技術應用解決方案之服務，服務業務包含 MaiCoin 數位資產買賣平台、MAX 數位資產交易所、AMIS 帳聯網路區塊鏈技術、Qubic NFT 技術整合服務與 MaiCapital 對沖基金公司(香港)等。 公司文化 MaiCoin Culture(https://github.com/MaiAmis/Careers/blob/master/MaiCoin/maicoin-culture.md)是我們的工程文化，期待與我們有相同信念的人才，能夠一同加入我們的行列，共同創造台灣的競爭力。 團隊簡介與公司地點請參閱: https://github.com/MaiAmis/Careers/blob/master/MaiCoin/README.md 工作內容 作為 MaiCoin/MAX 的一員，你將承擔實作、維護、測試後端和部分前端元件的責任，並致力於解決系統擴充性問題。在這個角色中，你將有機會深入研究區塊鏈應用與數位貨幣的技術問題，並參與相關功能的開發與資安強化。此外，你將有機會涉獵部分 DevOps 相關技術，並對系統的整體運作有更深入的理解。我們期待你能在這個領域中不斷成長，並與我們一同探索這個充滿挑戰與機會的領域。 基本條件 深厚資訊科學基礎重視軟體品質喜歡學習新的程式語言及開發流程積極主動、善於溝通與團隊合作對加密貨幣或金融科技有興趣。 基本技術條件 (必備) 資訊相關領域的學士或碩士學位。至少 2 年以上軟體開發相關經驗。熟悉 Linux 操作精通至少一種程式語言熟悉任一後端開發技術，如 Ruby on Rails、Golang、Node.js、Django 等熟悉關聯式資料庫系統和 SQL 語言熟悉 DevOps 工具與流程，如 Kubernetes、CI/CD 等任一整合公開 API 經驗版本控管概念 (Git)對系統架構、性能優化和安全性有深入理解。具備區塊鏈相關基礎知識或經驗。 次要技術條件 熟悉區塊鏈相關技術熟悉 Ruby on Rails具有網路安全知識具有開發多人上線大型網站經驗熟悉軟體開發流程熟悉 AWS熟悉 VM 及 Docker 相關技術 薪資與福利 保證底薪 NTD 1,000,000 ~ 2,000,000 特別優異者專案處理績效獎金專案獎金認股權 福利與環境 Macbook + 27" 大螢幕隨時補充滿滿的零食與飲料不定期辦公室聚餐與教育訓練開放式管理風格與舒適工作環境便利交通位置，捷運站出口直達 出勤與休假 彈性上班時間，可申請在家工作員工一入職除法定特休，每年享有30日不扣薪事病假女性員工每年還有3日不扣薪生理假 津貼補助 年度健康促進補助 NTD 30,000結婚補助 NTD 12,000生育補助 NTD 20,000 - NTD 50,000喪葬補助 NTD 30,000團隊團建活動每季每人補助 NTD 1,000員工推薦獎金員工三節禮券員工團體保險個人進修補助 人資或徵才聯絡方式 除LinkedIn投遞，亦可將履歷夾帶於附件，寄信至 [email protected]，標題註明應徵 Backend Engineer，我們將會與您聯絡。謝謝 更多資訊 集團簡介：MaiCoin" rel="noopener noreferrer">https://www.maicoin.com/zh-TW/aboutMaiCoin" rel="noopener noreferrer">MaiCoin 數位資產買賣平台：MAX" rel="noopener noreferrer">https://www.maicoin.com/MAX" rel="noopener noreferrer">MAX 數位資產交易所：https://max.maicoin.com/

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. About WorldQuant BRAIN: BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and provide global remote-work opportunities to participants, while they learn quant finance, AI and ML concepts. WorldQuant BRAIN provides an advanced crowdsourcing platform for external participants to contribute signals, data, and more. The Role:As a front-end developer, you will play a crucial role in implementing complex views based on UI designs and ensuring the highest level of quality and user experience. Implement complex views using React, Typescript and CSS. Collaborate with the UI/UX designers and back-end developers to translate UI designs into functional web applications. Debug and resolve issues related to front-end functionality and performance. Develop complex single page applications. Build reusable components for usage across interfaces. Develop responsive layouts for desktop and mobile devices. Automate UI testing processes. Be an active member of an agile engineering team who is continuously looking to improve team performance. Work with leading cloud technologies (such as AWS, GCP). What You’ll Bring: Experience in HTML, CSS, TypeScript. Experience optimizing React performance. 3+ years experience in developing scalable and robust software web applications. Experience with popular JavaScript libraries and tools. Proactive approach to learning and staying up-to-date with the latest front-end development trends and technologies. A passion for building robust and user-friendly web applications. Excellent debugging and problem solving. Advantage: Experience with CI/CD and version control systems Expertise in Python web frameworks such as Django, Flask and others Experience with Kubernetes or distributed systems is a plus A solid background in Unix/Linux environment Finance experience is a plus What We Offer: Competitive compensation package Core benefits include: premium private health insurance and life insurance with savings plan Support for every aspect of life through Employee Assistance Program and fully covered sick leave Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams #LI-MH1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.About WorldQuant BRAIN: BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and provide global remote-work opportunities to participants, while they learn quant finance, AI and ML concepts. WorldQuant BRAIN provides an advanced crowdsourcing platform for external participants to contribute signals, data, and more. The Role: As a front-end developer, you will play a crucial role in implementing complex views based on UI designs and ensuring the highest level of quality and user experience. Implement complex views using React, Typescript and CSS. Collaborate with the UI/UX designers and back-end developers to translate UI designs into functional web applications. Debug and resolve issues related to front-end functionality and performance. Develop complex single page applications. Build reusable components for usage across interfaces. Develop responsive layouts for desktop and mobile devices. Automate UI testing processes. Be an active member of an agile engineering team who is continuously looking to improve team performance. Work with leading cloud technologies (such as AWS, GCP). What You’ll Bring: Experience in HTML, CSS, TypeScript. Experience optimizing React performance. 3+ years' experience in developing scalable and robust software web applications. Experience with popular JavaScript libraries and tools. Proactive approach to learning and staying up-to-date with the latest front-end development trends and technologies. A passion for building robust and user-friendly web applications. Excellent debugging and problem solving. Advantage: Experience with CI/CD and version control systems. Expertise in Python web frameworks such as Django, Flask and others. Experience with Kubernetes or distributed systems is a plus. A solid background in Unix/Linux environment. Finance experience is a plus. What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events, monthly team lunch – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! #LI-QP1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

🚀 我們正在協助一家專注於 智慧製造與工程設計數位化解決方案 的新創團隊招募 Full Stack Engineer。團隊致力於運用 AI 技術優化工程設計流程與產業效率，產品已實際導入製造場域並持續拓展應用場景。 ✨此職位將依候選人技術背景，彈性分配前後端開發比例，並參與團隊技術選型、規劃、到實作落地的完整流程。 【Responsibilities】 參與產品功能規劃與技術方案討論 開發與維護核心產品與新功能模組 撰寫高可維護性與可擴展性的程式碼 設計與開發 RESTful API，支援前端與第三方系統整合 開發資料分析工具或內部營運輔助系統 優化資料庫架構與資料存取效能 監控系統效能並持續優化服務穩定度與回應速度

Company Introduction: Berry AI is dedicated to applying Computer Vision in the fast-food industry. Our recently developed products focus on helping US fast-food businesses improve their Speed of Service. We provide clients with an AI-based Drive-Thru Timer System and an in-store Customer Journey tracking system. These tools help clients understand situations, identify problems, and improve existing processes through real-time human-machine interaction and post-event data analysis. We are looking for passionate partners to join us in building stable and efficient services that can handle rapid growth. Our Core Technologies: Computer Vision: Berry AI has accumulated extensive experience in applying Computer Vision in Quick Service Restaurant (QSR) environments. We have proven methods for camera selection, finding installation locations and angles, calibration, streaming, and image tuning to meet customer needs.Edge AI: Berry AI deploys industrial computers at customer sites for real-time AI computation and result presentation. We have significant experience in optimizing AI and software to ensure complex computations can be executed stably on industrial computers.ML Learning Pipelines: Berry AI has accumulated a large customer base in the US. We have automated pipelines covering Data Collection, Model Training/Evaluation, and Model Deployment. We also have automated monitoring mechanisms to detect model performance in the Production environment and trigger model improvement processes.Hybrid Cloud Architecture: Berry AI uses AWS services to process Edge AI computation results and provides customers with useful and in-depth business insights through bidirectional integration of cloud and on-premises systems. Technical Challenges You'll Encounter Joining Us: "How to make AI more accurate?" Our AI must be able to handle indoor and outdoor scenes and changes in customer behavior patterns. We need to reduce monitoring and AI revision costs to continuously improve scalability."How to optimize edge computing devices that run both AI and complex software?" Considerations include resource management of CPU/Memory/GPU/SSD, software collaboration, and handling issues encountered by physical industrial computers in customer environments, such as CPU downclocking and increased CPU usage due to overheated kitchen environments."How to monitor and manage remote machine status?" Since customer sites are not public clouds or managed data centers, machine connectivity is affected by many factors, such as firewall vendors, physical lines, power systems, and hardware issues with the machines themselves. In addition to actively implementing observability improvements, we want to improve deployment processes and machine status control."How to quickly develop features to support business development?" Balancing rapid delivery that accumulates technical debt and investing in long-term architecture is a common issue for most startups, including us. Job Responsibilities: Our current products provide customers with a hybrid solution of AIoT and Cloud and require integration with third-party hardware and software. We expect the Backend Engineer to perform the following tasks within the Software Team: Collaborate with the front-end team, machine learning team, and business department to understand requirements and implement software development.Build, deploy, maintain, and optimize various cloud and on-premises services.Implement Best Practices to improve engineering development efficiency (e.g., CI/CD, automation, new productivity tools).Collaborate with other teams' Ops to establish more mature remote machine management/monitoring/troubleshooting processes.Provide troubleshooting tools and technical support to assist domestic and international Customer Success teams, requiring on-call shifts. Due to the high complexity of the company's system architecture, we are looking for candidates who: Are familiar with Python-related packages and system programming (Linux).Have experience using AWS cloud services, are proficient and can use industry Best Practices to build network architectures and communication protocols.Are familiar with backend development technologies, such as Web services, databases, automated testing, and concurrent programming.e.g., FastAPI, Django, PostgreSQL, MongoDB, RedisHave experience in planning and building Data Pipelines and Job Queues.e.g., DBT or CeleryAre familiar with containerization technologies.e.g., Docker, KubernetesAre open-minded and willing to engage in various idea discussions and technical sharing.Have good communication skills in both Chinese and English. Bonus Points: Have served as a DevOps/Infra/SRE Engineer and built infrastructure services that are used by other teams.Have experience in developing and maintaining smart cameras or IoT solutions.Have basic ML/CV concepts or product development and maintenance experience.Are familiar with TypeScript/C/C++/Golang/Rust.Have contributed to open-source projects or have experience in public technical speaking.

資深Python Django軟體工程師(可遠端工作)該職位已填補❗ 本公司雲端計算軟體後台使用 Python, Django。主要的客戶為全球的金融機構和上市(櫃)公司。

▋【關於我們】 思邁智能股份有限公司（MaiAgent Co., Ltd.）是一家由充滿熱情的技術專家創立的公司，專注於軟體開發與系統維運。我們致力於深耕 AI 軟體技術，為公部門、金融業提供先進的 AI 平台，提升用戶體驗。 我們誠摯邀請更多優秀且志同道合的朋友加入我們的團隊。我們理想的候選人應具備積極主動的態度、出色的邏輯思維能力，以及良好的團隊合作和溝通協調能力。同時，我們希望您具備快速學習的能力，勇於挑戰自我，並能夠迎接和解決各種未知的問題。MaiAgent AI 發展歷程2024年：- 第一代系統正式上線 ：https://money.udn.com/money/story/5635/8111622- 成為中國信託、微星科技、慈濟基金會等大型機構AI 助理合作廠商。- 團隊獲得總統杯黑客松卓越團隊。- 獲得金峰獎十大傑出產品獎項。新聞連結：https://money.udn.com/money/story/5635/8729582- 2025年：全面發展擴編中未來 我們期許：深耕Gen AI 領域、協助各大企業加速 AI 導入與效率優化，若您喜歡 AI 想成為 AI 領域的工作者、歡迎加入我們，跟上 AI 變革浪潮。 公司網址：https://maiagent.ai/ 職務需求 ▋【工作內容】- 開發專案與公司產品的 API- 串接外部系統 API▋【具備條件】 - 熟悉 Python, Django- 熟悉 ORM 資料庫建置- 熟悉 Django REST framework- 熟悉 Celery- 熟悉 Git, Github- 熟悉 Docker- 習慣使用 ChatGPT, Claude, Copilot 協作- 3 年以上 Django相關使用經驗- 3 年以上 Python相關使用經驗▋【加分條件】- 有能力獨立開發產品與工具- 能判斷第三方套件的優劣與選擇使用- 選擇對於公司長期較好的方法來實現目前的需求- 對程式碼品質要求，簡潔易懂好維護- 重視團隊合作溝通，能和同事有效溝通討論- 熱愛挑戰及學習新舊技術，能瞭解與判斷優劣，使用最適合公司發展的技術- Linux 基本操作能力- 曾任職 AI 新創團隊或變動快速的環境，能面對不斷變化的工作節奏及任務- DevOps(AWS) 經驗▋【其他】- 此職務依個人能力劃分為 " Junior Engineer 和 Senior Engineer "，不論您是否有完整相關經歷、皆歡迎投遞履歷。-如果目前是大學生，但擁有許多開發經驗或有開源社群貢獻者會優先考慮 面試流程 ▋【面試流程】 1. 履歷篩選 2.考題測試：履歷合適者會提供一份測試考題、作答期７天(不欲參與考題測試者、請不要投遞履歷，謝謝) 3.考題通過者進行現場面試

【Responsibilities】 設計、構建和維護可靠的數據管道，以自動化數據收集、處理和存儲過程 使用 Python 進行數據清洗、轉換和聚合，以支持數據分析和報告 優化數據架構和數據庫設計，以提高數據處理的效率和規模 實施數據質量控制和監控措施，以確保數據的準確性和完整性 探索和評估新技術和工具，以改善數據分析和模型開發的工作流程 與跨職能團隊合作，包括資料科學家、商業分析師和工程師，了解數據需求，提供滿足業務目標的解決方案。

▋【關於我們】 思邁智能股份有限公司（MaiAgent Co., Ltd.）是一家由充滿熱情的技術專家創立的公司，專注於軟體開發與系統維運。我們致力於深耕 AI 軟體技術，為公部門、金融業提供先進的 AI 平台，提升用戶體驗。 我們誠摯邀請更多優秀且志同道合的朋友加入我們的團隊。我們理想的候選人應具備積極主動的態度、出色的邏輯思維能力，以及良好的團隊合作和溝通協調能力。同時，我們希望您具備快速學習的能力，勇於挑戰自我，並能夠迎接和解決各種未知的問題。MaiAgent AI 發展歷程2024年：- 第一代系統正式上線 ：https://money.udn.com/money/story/5635/8111622- 成為中國信託、微星科技、慈濟基金會等大型機構AI 助理合作廠商。- 團隊獲得總統杯黑客松卓越團隊。- 獲得金峰獎十大傑出產品獎項。新聞連結：https://money.udn.com/money/story/5635/8729582- 2025年：全面發展擴編中未來 我們期許：深耕Gen AI 領域、協助各大企業加速 AI 導入與效率優化，若您喜歡 AI 想成為 AI 領域的工作者、歡迎加入我們，跟上 AI 變革浪潮。 公司網址：https://maiagent.ai/ 職務需求 ▋【工作內容】- 開發公司相關應用產品與 API- 開發可用於公司既有產品之 AI 技術工具▋【具備條件】 - 熟悉 Python, Django- 熟悉 ORM 資料庫建置- 熟悉 Django REST framework- 熟悉 Celery- 熟悉 Git, Github- 熟悉 Docker- 習慣使用 ChatGPT, Claude, Copilot 協作- 3 年以上 Django相關使用經驗- 3 年以上 Python相關使用經驗▋【加分條件】- 熟悉 LlamaIndex, LangChain, ElasticSearch- DevOps(AWS) 經驗- 有能力獨立開發產品與工具- 能判斷第三方套件的優劣與選擇使用- 選擇對於公司長期較好的方法來實現目前的需求- 對程式碼品質要求，簡潔易懂好維護- 重視團隊合作溝通，能和同事有效溝通討論- 熱愛挑戰及學習新舊技術，能瞭解與判斷優劣，使用最適合公司發展的技術- Linux 基本操作能力- 曾任職 AI 新創團隊或變動快速的環境，能面對不斷變化的工作節奏及任務▋【其他】- 此職務依個人能力劃分為 " Junior Engineer 和 Senior Engineer"，不論您是否有完整相關經歷、皆歡迎投遞履歷。 面試流程 ▋【面試流程】 1. 履歷篩選 2.考題測試：履歷合適者會提供一份測試考題、作答期７天(不欲參與考題測試者、請不要投遞履歷，謝謝) 3.考題通過者進行現場面試

【Company Highlights】 🫧AI-oriented startup aims to build and deployConversational AI products🫧 Diverse team with strong skill sets and cross-national exposure🫧 Fully-remote working environment and flexible company culture【Responsibilities】Write reusable, testable, and efficient code.Design and implement low-latency, high-availability, and performant applications.Integrate user-facing elements developed by front-end developers with server-side logic.Implement security and data protection measures.Integrate data storage solutions effectively.Perform performance tuning, improvement, balancing, usability enhancements, and automation.Collaborate closely with the design and product teams to understand end-user requirements and provide technical solutions.Implement new software features based on user requirements.