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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。

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.

【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.

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.

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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India; Hyderabad, Telangana, India; Mumbai, Maharashtra, India; Pune, Maharashtra, India.Minimum qualifications: Bachelor's degree or equivalent practical experience. Experience working with Unix/Linux environments, distributed systems, machine learning, information retrieval, and TCP/IP. Experience programming in C, C++, Java, or Python. Preferred qualifications: Bachelor's or Advanced degree in Computer Science or Computer Engineering, or a related field. 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.As a key member of a small and versatile team, you design, test, deploy and maintain software solutions. Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.Responsibilities Research, conceive, and develop software applications to extend and improve on Google's product offering. Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning, and search technologies. Collaborate on scalability issues involving access to data and information. Solve challenges/problems that you are presented with. 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.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), Machine Learning (ML) infrastructure, or in a related ML field. 5 years of experience in leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 3 years of experience in a technical leadership role. 2 years of experience in a people management or team leadership role. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 3 years of experience with working in a matrixed organization involving cross-functional, or cross-business projects. Experience in working on AI/ML or Generative AI systems. Experience with Generative AI model inference, prompt engineering and approaches using Learnable Feature Matchings (LFMs) (e.g., Code assist, Vibe coding). About the jobLike Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. The Application Design Center (ADC) is a Google Cloud Platform (GCP) tool that simplifies the process of designing, deploying, and managing applications. It offers a visual design canvas, a library of pre-built templates, and integration with development tools. ADC helps developers create applications faster, empowers users of all skill levels, and improves collaboration and security. It allows users to start from a natural language prompt, a template, or from scratch, and it generates the necessary code for deployment.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 Engineer and develop a platform for designing and deploying enterprise applications in the Application Design Center (ADC). Collaborate with cross-functional stakeholders, and other engineering teams to ensure that cloud-based applications are developed and rolled out. Utilize a variety of technologies, including Go, Java, Angular.js, Terraform, and other Artificial Intelligence/Machine Learning (AI/ML) and Google technologies, to design and develop solutions. Contribute to the design and implementation of features that enhance the ADC's capabilities. 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.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages. 3 years of experience with ML infrastructure (e.g., model deployment, evaluation, optimization, data processing, debugging, etc.). 5 years of experience with ML infrastructure, applied ML/AI algorithms, LLMs/multimodal foundation models, NLP, and working with C++/ Python. 5 years of experience with speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field. Preferred qualifications: 8 years of experience with data structure and algorithms. 5 years of experience testing, maintaining, or launching software products and 1 year of experience with software design and architecture. 3 years of experience working in a complex organization involving cross-functional or cross-business projects. Experience with the whole web stack, including protocols and web server optimization techniques. Experience with large-scale system design, artificial intelligence, or machine learning. About the jobLike Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. In this role, you will lead the development of cutting-edge conversational AI, enabling developers to build generative AI agents that can engage in complex, open-ended dialogues, and completing autonomous tasks.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 Lead a team of 8 to 10 engineers. Design, code, and deploy high-quality software at an accelerated pace. Create rapid prototypes and iterate quickly based on feedback. Explore and implement new AI/ML technologies.  Work closely with a small, experienced team. Engage in design and code reviews to ensure best practices and foster a culture of continuous improvement. Design and implement solutions in specialized ML areas and leveraging ML infrastructure.  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.