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Role Overview We are seeking a highly skilled NLP Generative AI Specialist to design and implement advanced language intelligence systems powered by LLMs and modern Generative AI architectures. This role focuses on building scalable AI solutions for multilingual text understanding, retrieval-augmented generation (RAG), and enterprise AI applications. The ideal candidate combines deep expertise in deep learning frameworks, modern transformer architectures, and multilingual NLP systems, with hands-on experience developing production-grade GenAI pipelines and LLM-powered applications.

公司介紹 這是一家長期深耕金融科技與數據應用的知名金融機構，擁有龐大的金融交易與客戶數據基礎，持續投入 AI、數據分析與智能化服務發展。團隊致力於將機器學習技術實際應用在金融服務場景中，例如智能推薦、風險分析、語言模型應用與流程自動化等，讓 AI 技術真正影響數百萬用戶的金融體驗。 在這個團隊中，你將有機會參與大型數據環境下的 AI 專案，將模型從研究、開發到實際部署，並與產品與業務團隊合作，將機器學習能力落地到實際商業場景。對於希望將 AI 技術真正應用於高影響力產業場景 的工程師而言，是非常具有發展性的舞台。 工作內容 開發與優化機器學習模型，應用於金融服務與內部流程優化 與業務單位合作，將實際業務問題轉換為可落地的機器學習問題 建置與部署 AI 模型服務，提升系統自動化與智能化程度 參與模型設計、實驗、評估與部署流程 協助推動 AI 技術在產品與服務中的應用 使用的技術 Python TensorFlow / PyTorch / Scikit-learn RESTful API NLP / 語音模型 / 推薦系統 / 影像辨識（依專案需求）

We are data team in EC LINE TW. Firstly, you will have chance to participate huge scale machine learning and data engineering architectures for recommendation, data pipeline, search application and NLP for EC family services in LINE TW. In addition, you will learn how to cook complete data solution by LINE machine learning, big data and cloud platform. Furthermore, working with diverse roles in EC Data team is challenging and very interesting experience (data engineer, data scientist, machine learning engineer).

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with software development in one or more of the programming languages (e.g., C, C++, Python, Go) or scripting languages (e.g., shell). 3 years of experience testing, maintaining, or launching software products. Experience in embedded software design, system board bring-up or diagnostics. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 8 years of experience with software development. Experience with BIOS, Kernel, Firmware quality tests or modularized servers of reliability. Experience with developer operations, release management, integration testing, open source development or Open Compute Projects (OCP). Excellent programming skills in building software test infrastructure, and excellent code comprehension skills for vendor code review. 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 or develop Software (SW)/Firmware (FW) running in SoC for boot, security, power management, manageability and other SoC co-processors. Develop or review the code for boot services API, NERF/UEFI/linuxboot/ACPI. Code review and quality process build up for partner's code upstream. Co-work with SoC vendors, Joint Design Manufacturing (JDMs) on code quality, and test left-shift to early check on code quality. Build, test or release infrastructure development and maintain the release cadence, BIOS release quality. Lead the new product initiatives/feature and coordinate across different stakeholders. 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.

Google welcomes people with disabilities.Minimum qualifications: PhD degree in Computer Science, a related field, or equivalent practical experience. Experience coding in one of the following programming languages: C, C++, Java or Python. Experience in one or more of the following: architecting or developing distributed systems, concurrency, multi-threading, or synchronization. Preferred qualifications: 1 year of experience with performance, large scale systems data analysis, visualization tools, or debugging. Experience in code and system health diagnosis and resolution, and software test engineering. Experience developing accessible technologies. Ability to start full-time role in 2026. 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. The ML, Systems, Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.Responsibilities Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Science, or a related technical field, or equivalent practical experience. 2 years of experience with software development in C++ or Python. Preferred qualifications: Experience with software for AI infrastructure, reference Operating System (OS), storage. Experience in working with cross-functional teams, including engineers, product managers, and technical program managers, with excellent communication skills. Experience with Machine learning and AI, with the knowledge of the hardware and software stacks. Knowledge of TPU Software and automation pipelines. Excellent problem-solving skills, with the ability to work in a changing, collaborative environment. 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. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Partner with Tensor Processing Unit (TPU) software and hardware team and help design, develop and validate TPU based systems for standalone deployment. Build and integrate Cloud Compute software to bootstrap TPU Artificial Intelligence (AI) Infrastructure. Drive quality delivery of projects within the team. Collaborate with cross-functional leaders to shape the future of the Machine Learning (ML) infrastructure. Provide technical guidance and mentorship, promote the growth of team members. 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 3 years of experience in software engineering, in a large-scale cloud environment with knowledge in building and operating Compute Infrastructure. Experience with building system skills, including low-level system software, Operating Systems (OS), firmware, low-level networking, or hardware. Experience with debugging, troubleshooting and diagnosing issues in distributed systems. Experience testing, maintaining, and launching software products or infrastructure. Experience with compute technologies. 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. We are building the AI infrastructure for the future, In this role, you will support building a brand new product in a fluid environment.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Contribute to the direction of the Hybrid and On-premises (On-prem) Infrastructure business by assisting in defining and delivering architecture and road-map initiatives. Work with peer engineers and managers within Google teams and external partners to influence product and team road-map. Support the team in maintaining and enhancing product, engineering, operational, and support excellence. Work with cross-functional teams to ensure the timely delivery of new product initiatives. Partner with internal cross-functional organizations and external vendors and partners to contribute to customer advocacy by understanding user needs and helping to deliver solutions that meet customer needs. 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 1 year of experience in software development, with languages such as C++. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing high-performance, memory-safe systems using Rust. Experience developing in Kotlin for Android application development in modern frameworks like Jetpack Compose, Coroutines, or CameraX. Experience building camera stack on OS or framework level or working with complex hardware-software integration. Knowledge of Android camera framework (Camera2/CameraX) and experience with technologies like ISP, 3A algorithms, or Image Quality tuning. 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. The Android Laptops and Tablets Camera team (previously known as ChromeOS Camera team) is crucial for delivering an exceptional camera experience on Android laptops and tablets. We develop and optimize the entire camera stack, from applications, framework to system-level camera service, Hardware Abstraction Layer (HAL) and kernel. Our mission is to provide the best possible camera experience for Android's laptop and tablet users. We achieve this by leveraging the Google AI/ML technologies to ensure exceptional image and video quality.Responsibilities Design and implement high-performance and memory-safe camera stack for Android Laptops and Tablets, spanning from system services to the Hardware Abstraction Layer (HAL). Build responsive and intuitive camera application features to deliver a desktop-class user experience. Leverage Google's AI/ML technologies to power innovative use cases or optimize camera image quality. Collaborate with cross-functional teams to pioneer advanced camera features and concepts. Analyze and optimize camera system performance, including power consumption and memory usage, to ensure efficient operation across complex integrations. 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Science, a related technical field, or equivalent practical experience. 2 years of experience in software development in languages such as C++. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Science or related technical fields. Familiarity with software for AI infrastructure, reference OS, storage. Understanding of cloud or data center compute, storage technologies. Ability to develop deep knowledge in machine learning and AI, including the underlying hardware and software stacks. Excellent problem-solving skills with the ability to grow in a fast-paced, collaborative environment. Excellent communication skills along with experience working with cross-functional teams, including engineers, product managers, and technical program managers. 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 manage information at a 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. In this role, you will design and implement software for bootstrap and configure the Compute or Storage components, OS image deployment and node specific software as agents or offload computation, integrating with both TPU clusters and cloud infrastructure.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Collaborate with TPU Software (SW) and Hardware (HW) team and help design, develop and validate TPU based systems for standalone deployment. Build and integrate Cloud Compute software to bootstrap TPU AI Infrastructure. Drive high-quality, timely delivery of projects within your team. Partner with cross-functional leaders to shape the future of ML infrastructure. Mentor team members by providing technical guidance and fostering their growth. 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in Python or C++, or 1 year of experience with an advanced degree. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience with Generative AI, Large Language Models (LLM), or Machine Learning infrastructure, including model deployment, performance optimization, profiling, and debugging. Experience with distributed computing leveraging graphics processing units (GPU) or tensor processing units (TPUs). Ability to scope and solve problems independently, and thrive in a dynamic, fluid environment where AI technologies are continuously advancing. Ability to collaborate effectively with cross-functional and cross-regional teams. 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.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Optimize performance on Google's AI infrastructure across the technical stack. Conduct in-depth performance profiling, debugging, and troubleshooting of AI/ML training and inference workloads. Develop tools and software for the AI/ML Infrastructure to deliver exceptional end-to-end developer experience. Partner closely with cross-functional, cross-regional teams to ensure the AI/ML infrastructure delivers exceptional value and drives success for the customers. Shape the future of the AI/ML infrastructure by identifying gaps in the existing products and recommending enhancements. 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.