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1. Assist in defining project scope and objectives, engaging all relevant stakeholders to ensure technical feasibility.2. Develop actionable project schedules and lead scrum team members to deliver projects on time and within scope.3. Ensure clear and consistent communication of project updates and their impact on development progress to stakeholders.4. Coordinate with Engineering, Product, Business Development, Marketing, and Customer Success teams to clarify project priorities, timelines, and resource allocation.5. Identify and manage project risks, escalating issues to stakeholders as necessary.6. Enhance current processes to improve team efficiency.

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.

We are seeking motivated AI Engineering Interns to explore and apply the latest advancements in AI across various industrial sectors such as Asset Management, Transportation, and more. This role focuses on integrating Large Language Models (LLMs) into business workflows to drive innovation and deliver tangible business value. You will be involved in researching, developing, and implementing AI-driven solutions that optimize processes and enhance decision-making within industrial domains. Key Responsibilities Research Exploration: Study the potential of AI, especially Large Language Models (LLMs), in solving real-world challenges in industries like Asset Management, Transportation, and Manufacturing. Investigate how LLMs can enhance data processing, decision-making, and operational workflows within industrial applications. Solution Development Integration: Collaborate with industry experts to understand existing business processes and workflows. Develop AI-powered applications that utilize LLM capabilities for tasks such as asset tracking, predictive maintenance, logistics optimization, and supply chain management. Design and prototype systems that leverage Gen AI to automate routine tasks, improve communication, and drive efficiencies. AI for Asset Management Transportation:Apply AI models to streamline asset lifecycle management, optimize resource allocation, and predict failure patterns in industries like energy, utilities, and transportation.Create LLM-based solutions that enhance operational decision-making, optimize transportation schedules, or provide intelligent maintenance suggestions.AI Integration in Business Workflows:Work with cross-functional teams to integrate AI models into existing platforms and tools used in industrial operations.Explore the use of conversational AI, natural language processing (NLP), and machine learning to improve customer support, operations monitoring, and performance reporting.Data Processing Automation:Utilize Gen AI to automate document processing, report generation, and data analysis workflows.Enable intelligent query systems and chatbots that can assist stakeholders in obtaining insights from vast amounts of industrial data.Documentation Presentations:Document your research findings, development processes, and integration strategies for future reference and knowledge sharing.Present your AI-driven solutions and prototypes to engineering and leadership teams, highlighting their business impact.

這是一家橫跨日本與台灣的 AI 行銷科技公司，以自研自然語言技術為核心，打造對話式行銷工具、AI 影片自動生成服務等 SaaS 產品。團隊在台日皆擁有研發與策略中心，並已取得多項跨國專利，具備強烈的技術壁壘與市場先行者優勢。 公司目前正進入第二高速成長階段，包含 AI 聊天生成、廣告創作、影片自動化等新產品管線。工程團隊與日本研發中心密切合作，文化開放透明、跨語溝通頻繁，適合希望提升系統架構能力、技術領導力，並在多語與跨國環境中成長的工程師。 ｜工作內容｜ 主導 AI SaaS 產品的後端架構設計、技術選型與效能優化 建構可穩定支援機器學習模型運行的後端與基礎設施 擔任技術領導者，帶領 3–5 人團隊，執行 code review、技術指導與品質把關 規劃並導入 SRE 實務，提升系統可靠度（reliability）與可維運性（operability） 參與跨國團隊協作，與 PM、行銷策略團隊及日籍研發中心一起討論可行技術方案 協助規劃新產品功能，如對話式 AI、影片生成、資料流架構等 ｜使用技術｜ Python（Django / FastAPI） PostgreSQL / MySQL / Redis Docker、CI/CD AWS 或 GCP（EC2、Cloud Run、Cloud Storage 等） 監控工具：Cloud Logging / Prometheus / Grafana 加分：Golang、TensorFlow / PyTorch、Microservices

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.

About Aiello Aiello is a Taiwan-based startup specializing in conversational AI. Our flagship product—Aiello Voice Assistant—leverages cutting-edge voice and NLP technologies to deliver natural, intuitive human-machine interactions. We aim to redefine guest experiences in hospitality and beyond, shaping the future of lifestyle through AI. Learn more at https://aiello.ai Role Overview As we expand into Japan, we’re looking for a native Japanese speaker to help localize our sales and marketing content and manage our Japanese social media presence. You will work closely with the Sales Marketing team and assist with ad hoc projects as needed. Key Responsibilities Translate and localize company content (website, blog, video scripts, social media posts) from English to Japanese.Ensure content tone and messaging align with Japanese cultural and market expectations.Manage social media accounts(optional)Create original Japanese content based on market trends and feedback(optional)Support cross-functional marketing and business development initiatives.Assist with Japanese language QA and product reviews when required.Qualifications Native Japanese speaker; fluent in English and/or MandarinExcellent writing and communication skillsStrong attention to detail; grammar proficiency is a mustAble to meet deadlines and manage multiple tasksCultural fluency in Japanese consumer behavior and toneInterest in technology and AI is a strong plusExperience in hospitality is a bonusWhat You'll GainYou'll develop real-world experience in multilingual content localization, brand communication, and cross-team collaboration. This role is ideal for individuals interested in marketing, tech, or international business.

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 programming languages: Python, Java, or C++. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other machine learning disciplines. Experience working as Technical Solution Architect in a cloud computing environment or a customer-facing role. Ability to communicate in English and Japanese fluently to support client relationship management in this region. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures/algorithms. Experience with building AI and machine learning solutions, Machine Learning Operation frameworks like Kubeflow, and leveraging machine learning architectures (e.g., deep learning, LSTM, etc.). Experience architecting and developing software or infrastructure for distributed systems and with machine learning technologies. Understanding of AI Models, Large Language Models, AI specialized infrastructure and AI practice. Ability to learn, understand, and work with new technologies, methodologies, and solutions in the Cloud/IT technology space. 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.With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The Google Cloud Platform Generative AI team helps customers unlock their potential with AI. As part of an entrepreneurial team in this growing business, you will help shape the future of businesses of all sizes using AI and ML. You will apply expertise in implementing and deploying Generative AI (GenAI) solutions.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 Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers. Provide AI expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud. Support developers, creators, and enterprises to leverage Google’s Generative Language APIs so they can build their own AI products in the future. Travel to customer sites, conferences, and other related events as needed. 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 one or more general purpose programming languages like Java, C, C++, or Python Preferred qualifications: 10 years of experience in Artificial Intelligence/Machine Learning (AI/ML). About the jobGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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. 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 Analyze core AI and BI use cases and build easy-to-use and scalable features. Collaborate with a team of Engineers to develop techniques that improve system performance, efficiency, and scalability. Own end-to-end ownership of critical components from design and implementation to testing and optimization. Be an expert in Business Intelligence (BI) domain. Foster an environment of continuous learning and knowledge sharing. 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 one or more programming languages, or 1 year of experience with an advanced degree. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 3 years of experience with software engineering or a related field. Experience in building and maintaining production services. Experience in SQL and dashboard tools. Experience in C++ and Go. Experience with embedded system. 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. 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 Develop tools and diagnostics in support of system health verification, performance characterization, reliability, system bring-up, board functionality testing, etc. Develop software that executes in multiple systems. Develop dashboards to analyze the results. Enable the testing and decision making on hardware and software design and deployment to help us build services to guard the health of all the Google Data Centers. 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. 2 years of experience with software development in one or more programming languages (e.g., C++, Java, and Python). Experience with systems programming or operating system internals (e.g., Linux, Android, ChromeOS). Experience with data structures or algorithms. Preferred qualifications: Master's degree or PhD in Computer Science, or in a related technical field. 3 years of experience in embedded systems or mobile platform development. Experience in developing and debugging Bluetooth software stacks and core profiles. Experience with Android device development, applications, and services, plus strong debugging skills. Experience with wireless communication, network stack, Linux kernel, device drivers, and hardware abstraction layers. Knowledge of Bluetooth specifications (e.g., Classic and Low Energy). 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.ChromeOS delivers quality computing at scale to provide universal and unfettered access to information, entertainment, and tools. Our mission is to empower anyone to create and access information freely through fast, secure, simple, and intelligent computing.Responsibilities Design and develop software solutions for the Bluetooth stack. Write and review high-quality code in C++ and Java. Debug and resolve technical issues related to bluetooth functionality, interoperability, performance, and power consumption. Collaborate with hardware and software teams to integrate new Bluetooth technologies. Improve Bluetooth features, performance, efficiency, reliability, and maintain testing frameworks. 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.