Cake 找工作

Dcard 是在年輕族群有極高滲透率與影響力的社群平台。我們致力於打造一個讓每個人都可以放心分享自己故事的地方，讓平凡人分享不平凡故事的新世代社群服務。面對快速變化的社群生態，我們期待更多優秀的人才加入 Dcard。為了達成這個目標，我們需要 Senior Machine Learning Engineer (Ads) 加入我們， 你將有機會可以接觸到⼤量⽤戶產生的實際資料，加入這個熱愛挑戰的團隊，一起打造被千萬人喜愛與使用的產品！ 你將在團隊參與⋯ 參與 Dcard 機器學習相關產品的開發以及演進，可能會碰觸到演算法開發、模型訓練、Feature pipeline 設計以及維護服務的正常運作。與其他 Data Component 的開發者合作，一起建置 Dcard 機器學習相關系統。從大量使用者數據中分析、挖掘洞察以迭代演算法優化。設計並進行 A/B 測試實驗，驗證演算法的成效。

公司介紹 本職缺來自全球用戶突破億級的加密科技平台，團隊推動 AI、區塊鏈、Web3 應用整合，致力打造下一代數位生活體驗。公司設有創新實驗室（Innovation Lab），專注於 Generative AI 應用與技術研發，支持全遠端工作與跨國團隊合作。台灣已設立據點，歡迎本地優秀人才加入！ AI / Machine Learning Engineer (with a focus on Generative AI) Job Summary: We are seeking a highly skilled and motivated AI/Machine Learning Engineer to join our innovative team. The ideal candidate will have a strong background in developing predictive models and a deep passion for the rapidly evolving field of Generative AI. You will be responsible for the end-to-end development of AI solutions, from data processing to model deployment, and will play a key role in leveraging cutting-edge AI technologies to solve real-world challenges across various domains. Responsibilities: Develop and maintain robust data pipelines to process and analyze large volumes of information, preparing high-quality datasets for model training. Build and deploy predictive models and machine-learning algorithms to discover trends, patterns, and actionable insights from data. Design, develop, and implement generative AI models to address complex challenges in areas such as natural language processing, image synthesis, and video/voice generation. Conduct ongoing research on emerging generative AI techniques, algorithms, and best practices to ensure our solutions remain state-of-the-art. Collaborate effectively with cross-functional teams, including product managers, software engineers, and domain experts, to design and deploy integrated AI solutions.

關於Quid（NetBase美商網基品牌） ***歡迎身心障礙朋友加入我們！我們提供彈性工作安排，包括遠端工作（WFH），讓您在舒適的環境中發揮專業才能。*** 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。 About Quid Quid is a pioneer in leveraging cutting-edge technology to address real-world challenges. We don’t just deliver software — we deliver outcomes. Our mission is to transform data into insight, enabling our clients to make better strategic decisions. About This Team This team plays a central role in that mission. We empower our Outcome Engineers to deliver customized insights efficiently and support other engineering teams by providing open-source LLM platforms, conducting model benchmarking, and driving AI innovations to handle large social media datasets across the company. We are seeking entrepreneurial and technically strong Machine Learning Engineers who are passionate about applying Large Language Models (LLMs), NLP, and data engineering to build intelligent systems and infrastructure that enable scalable, outcome-driven work. Your Role As a Machine Learning Engineer at Quid, you will build the AI and data analysis pipelines that power our insight-generation process. Your work will combine LLM integration, NLP expertise, and applied machine learning to empower internal teams to extract, organize, and synthesize insights from complex datasets at scale. You’ll work with both open-source and proprietary LLMs to create tools and workflows that enable our Outcome Engineers to produce consistent, high-quality analytical outputs efficiently. You will: Design and implement AI pipelines that automate or accelerate insight creation and tuning.Design and refine prompt strategies and model selection to optimize performance, precision, and cost.Apply machine learning and statistical techniques to structure, enrich, and interpret large datasets, especially text data.Build and maintain scalable model-serving systems — such as hosting open-source LLMs and word embeddings — to support AI-driven analytics across engineering and analysis teams.Maintain rigorous testing, benchmarking, and evaluation of both open-source and proprietary LLM models.

▋【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 AI 產品與 API- 開發可用於公司產品之 AI 技術▋【具備條件】 - 熟悉 Python- 熟悉 AI 領域知識- 熟悉 LLM, RAG, Agent, Workflow- 熟悉 LlamaIndex, LangChain, ElasticSearch- 習慣使用 ChatGPT, Claude, Copilot, Cursor 協作- 3 年以上 Python相關使用經驗▋【加分條件】- 熟悉 Django, PostgreSQL, Celery- 熟悉 ORM 資料庫建置- 熟悉 Django REST framework- 熟悉 Git, Github- 熟悉 Docker- 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

▋【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 AI 產品與 API- 開發可用於公司產品之 AI 技術▋【具備條件】 - 熟悉 Python- 熟悉 AI 領域知識- 熟悉 LLM, RAG, Agent, Workflow- 熟悉 LlamaIndex, LangChain, ElasticSearch- 習慣使用 ChatGPT, Claude, Copilot, Cursor 協作- 3 年以上 Python相關使用經驗▋【加分條件】- 熟悉 Django, PostgreSQL, Celery- 熟悉 ORM 資料庫建置- 熟悉 Django REST framework- 熟悉 Git, Github- 熟悉 Docker- 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

At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.Minimum qualifications: PhD degree in Computer Science, a related field, or equivalent practical experience. One or more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). Preferred qualifications: Experience in areas like face anti-spoofing, biometrics, 3D/2.5D vision, facial landmark/pose estimation. Experience with TensorFlow, Flume, common computer vision libraries/frameworks and Android. Interest to build production systems. Excellent software engineering skills (e.g., C++, python, data processing, production backend development, etc.). About the jobAs an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. In this role, you will develop models and architectures grounded in foundation models, data-efficient algorithms, and federated learning.Responsibilities Author research papers to share and generate impact of research results across the team and in the research community. Help in growing research business across teams by sharing research trends and best practices within the community. Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under minimal guidance. Identify timelines and obtain resources needed. Identify new and upcoming research areas by interacting with external and internal collaborators. Help in developing research strategy and plans to expand the impact of Google research with some guidance. Contribute to conducting experiments based on the research question. Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance. 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.

公司介紹 這是一家正積極推動AI轉型與數據驅動決策的大型網路平台集團，致力打造以使用者為中心的多元生態服務。 內部AI團隊為企業智能化的核心引擎，五年內已成功建置超過數百項AI應用方案，廣泛應用於客服、內容生成、推薦系統與自動化決策等場景。 在這裡，你將與頂尖AI人才協作，從模型研發到產品落地，親手定義生成式AI於大型平台的真實應用價值。 工作內容 設計與實作先進的 ML/生成式AI 模型（如推薦系統、LLM、計算機視覺） 規劃並優化模型部署架構，確保高效、可擴展的AI服務 跨部門協作，將AI技術落地至產品與商業應用中 負責專案進度與品質管理，確保成果符合業務需求與技術標準 探索新興AI技術（RAG、多模態生成、模型微調等），推動持續創新 使用的技術 Machine Learning Frameworks：TensorFlow / PyTorch LLM Generative AI：RAG、Prompt Engineering、Fine-tuning Cloud Deployment：Kubernetes、Docker、CI/CD Pipelines Data Tools：Python、SQL、Feature Store、MLOps Pipeline

【投遞須知】請意欲參與此實習的夥伴，請檢附相關開發資訊，如GIT HUB等，以利技術性審核，感謝!這是一份要動起來的實習旅程，會面對硬實力與軟實力的複合型挑戰!"近期主題偏向NLP、CV之產品化開發。*持續且頻繁使用超過1年的Python經驗，具良好coding style*複合型的應用開發，包括AI技術(NLP/CV/BIG DATA )為主軸、後端產品化(DATABASE/API)為輔【工作內容】1. 負責AI軟體與系統化之資料蒐集、設計、程式撰寫、測試、優化與佈署等2. 依照專案需求建立AI模組並配合軟硬體整合開發3. 針對現有產品、模型進行優化、調參 4. AI模型系統化之環境與後端API、資料庫串接製作5. 文件化與基礎QAQC【加分項目】● 資訊工程科系尤佳，具備自主開發的能力● 具備物件偵測(Object Detection)相關開發經驗● 產品化面:熟悉My SQL資料庫運用/NoSQL資料庫運用/Linux作業系統開發/Docker● AI模型面:熟悉深度學習架構、演算法技術與模型加速技術、NLP● 熱愛軟體開發，積極有耐心【實習時程】● 以長期穩定實體實習為主，時程至少6個月含以上，一週至少能配合3天。

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.

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. We are seeking a talented and innovative Data Scientist to join our strategic HR team. This role is instrumental in driving HR transformation through the application of AI, data analytics, and emerging technologies. The ideal candidate will possess strong AI capabilities using Python, general IT knowledge in databases, systems, and UI/dashboard prototyping; a background in computer science, information management, or a related field. The Data Scientist will function as an HR RD specialist, exploring and implementing advanced tools and methodologies to enhance HR processes and deliver substantial business impact. Responsibilities:1. AI and Data Analytics in HR: (1) Develop and implement AI models and machine learning algorithms using Python to optimize HR processes. Perform advanced data analytics, including handling big data in various formats (e.g., text data using NLP), to generate actionable insights for HR transformation. 2. Research and Development: (1) Investigate and stay current with emerging AI and intelligent tools, assessing their potential applications in the HR domain.(2) Conduct proof of concept (POC) projects to test and validate new technologies and methodologies. 3. Data Handling and Modeling: (1) Manage, pre-process, and analyze large datasets to support HR initiatives.(2) Build and validate predictive models to forecast HR metrics and enhance decision-making processes. 4. Tool Development and Prototyping:(1) Develop and prototype user interfaces and dashboards to visualize data insights and support HR decision-making.(2) Integrate various systems and databases to streamline data flow and accessibility. 5. Collaboration and Innovation: (1) Collaborate with HR and other departments to identify opportunities for AI-driven improvements.(2) Work with cross-functional teams to implement data-driven solutions that enhance employee experience and operational efficiency. 6. Strategic Contribution: (1) Provide data-driven insights and recommendations to support the strategic planning process.(2) Contribute to the development and execution of HR strategies through robust data analysis and reporting. 7. Technical Expertise: (1) Utilize Python, SQL, and other relevant tools for data analysis, AI model, and automation tool development.(2) Employ visualization tools such as Power BI, Tableau, and web technologies like React or JavaScript for dashboard development. 8. Multi-Tasking and Impact: (1) Manage multiple tasks and projects simultaneously, demonstrating an eagerness to contribute and make a positive impact.(2) Support colleagues in improving daily work processes and strategic planning. 9. Team Player:(1) Work effectively within a team, fostering a collaborative and supportive environment.