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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

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.

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 2 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 scalableBenefitsCompetitive compensation package.Performance-based bonus.Insurance package.Chance to work with many strong people with international experience.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Bengaluru, Karnataka, India.Minimum qualifications: Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 8 years of experience working with external partners on conversation architecture and bot designing. 3 years of experience writing code in one or more programming languages (e.g., Python, Java). 2 years of experience managing a technical team in a cloud computing environment. Experience with Generative AI, natural language processing, conversational flow and related concepts. Preferred qualifications: Master’s degree in Engineering, Computer Science, Business, or a related field. Experience in Linguistics, Applied Linguistics, Cognitive Science, or related discipline with a focus on Conversation Analysis, Pragmatics, Language Use, Cognitive Linguistics, Philosophy of Language, or Natural Language Processing (NLP). Experience in chat or voice bot development, NLP based Conversation flow design, contact center technologies or linguistics. Understanding the call center and digital ecosystem to track and monitor Key Performance Indicator( KPIs). About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. 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 Identify opportunities with Google’s key customers to apply conversational AI in their business, implement solutions for customer use cases, leveraging core Google products, and transforming their contact centers using Google’s conversational AI solution. Manage and grow a team of Architects, Consultants and Engineers. Work with business/partner leads and technical stakeholders to translate customer requirements into appropriate conversational AI Solution architectures, Statement of Work (SOWs), project and staffing plans. Develop conversational Artificial Intelligence (AI) solution delivery strategies and methodologies with product and engineering teams; consolidate lessons learned into a curated insights base to enable global scaling of industry solutions. Recommend and document migration paths, integration strategies, and application architectures needed to successfully implement complete conversational AI solutions using best practices on Google Cloud. 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.

1. 開發生成式AI相關應用2.協助資料收集、清理與處理文本/音檔資料]3. 參與 LLM 與語音模型(如 Whisper) 的微調與優化4. 協助開發與測試模型、提升文本生成與語音辨識的準確性與相關性5. 研究並嘗試不同的模型整合與優化方法6.其他主管交辦事項*必要技能: 1. 熟悉機器學習、自然語言處理(NLP)、向量資料庫或 RAG 技術有基礎理解2. 熟悉 Python，並了解基本的機器學習/深度學習工具(如 PyTorch、TensorFlow、scikit-learn任一皆可)3. 對LLM或語音AI模型有興趣，願意投入研究與實作，具備良好學習能力及問題解決能力

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: Bachelor’s degree or equivalent practical experience. Experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). Experience working with data structures or algorithms during coursework/projects, research, internships, or practical experience in school or work (e.g., open-source coding). Preferred qualifications: Master's degree in Computer Science, or a related technical field. Experience working with one or more of the following: web or mobile application development, Unix/Linux environments, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing large software systems, or security software development. Experience developing accessible technologies. Interest and ability to learn other coding languages as needed. 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. Responsibilities Design, develop, test, deploy, maintain, and improve software. Manage project priorities, deadlines, and deliverables. Take on tasks as requested, following through to completion despite roadblocks or distractions. 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.