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為什麼大家喜歡在 RichWell Co.Ltd. 上班？ 1.彈性上班-早上不趕打卡，想多睡一點、避開通勤人潮都OK。2.特休多多-不用等滿一年就能休假，我們比法規更大方，放假就是要爽爽的。3.獎金福利讚 年終、績效獎金該有的都有，努力絕對不白費。4.生日小驚喜，公司記得你的每個重要時刻。5.定期聚餐/Team Building 不只是工作夥伴，更是一起成長的戰友，吃吃喝喝感情更緊密。6.技術課、內部分享會，想學什麼我們都支持，讓你持續進化不退化！Responsibilities We are seeking an experienced Site Reliability Engineer (SRE) who will be responsible for ensuring a reliable scalable platform infrastructure.Develop pipelines for deploying applications using IAC tool (e.g. Ansible, K8S, CI/CD pipeline via Jenkins/ArgoCD).Setup monitoring telemetry with using Prometheus/Grafana stacks.Design and implement Disaster Recovery backup solution.Scale systems sustainably through mechanisms like automation and evolve systems by pushing for changes that improve reliability and velocity.

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.Advanced Quality System Development (AQSD) is part of TSMC's Intelligent Manufacturing Center (IMC), responsible for three main directions: Use statistical methods and conditional monitoring to inspect fab control charts, providing early warning of abnormal product yields; offer a fab defense system settings comparison platform to check that machines meet the internal control anomaly conditions set by the engineering department.Develop online fab analysis platforms through Big Data, Machine Learning, and Deep Learning techniques for online yield/defect analysis to ensure the quality of wafers produced in the fab.Develop systems and provide logical operations to control and implement escape mechanisms for material batch changes, measurement stages, and inspection stages, ensuring quality and optimizing product sampling rules. Responsibilities: Apply machine learning/optimization algorithm to build up models for optimizing semiconductor production.Develop analysis and optimization methods to enhance product quality, increase tool productivity and improve people productivity.Design, develop and test prediction models with real applications in manufacturing.Build a flexible framework to speed up the development process of AI models, with a focus on Large Language Models (LLMs) serving.Turn exciting AI prototypes/ideas into products, leveraging LLMs and other advanced AI technologies.Develop next-generation AI backend systems related to large-scale real-time data access, collection, analytics and monitoring.Establish and maintain MLops processes and tools, including model deployment, monitoring, and automation.Continuously improve the quality of AI production systems, particularly those utilizing LLMs.

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. Provide comprehensive delivery plan / demand vs supply analysis / logistic services to customer.Coordinate internal planning team through front-end wafer to far-backend package to meet customer's delivery target of each configuration.Manage logistic service and schedule monitoring related projects.

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 outstanding engineers to join TSMC IT infrastructure team to build and operate IT advanced Data Center to support world-class semiconductor foundry.This team is responsible for designing, implementing and optimizing IT infrastructure towards software-defined computing, storage and networking with advanced cloud technologies.The successful candidate should have strong technical skills and dedication for operation excellence. Responsibilities: Your responsibilities include:1. Network/Storage Design and Management:(1) Design, construction, operation, and capacity planning of large-scale NAS storage/object storage. (2) Operate and manage network infrastructure, including LAN, WLAN, Firewall, and Proxy.(3) Design, implement, and manage scalable network architecture aligned with business goals and industry best practices. 2. Automation and Scripting:(1) Develop and maintain automation scripts for network configuration, monitoring, and management using tools like Ansible and Python. (2) Transform repeatable tasks into automation tools to streamline operations and maximize efficiency. 3. Application Development:(1) Develop state-of-the-art applications and refactor existing applications for improved performance and maintainability.(2) Write and implement tests (unit/feature/integration) to guarantee software integrity. 4. Monitoring and Troubleshooting:(1) Implement monitoring solutions to proactively identify and resolve network and application issues. (2) Perform root cause analysis and corrective actions to troubleshoot technical challenges, including Linux-related systems and logs (e.g., Go code/log analysis). (3) Infrastructure operation issues(network/server/storage/security) visualization and countermeasure planning. Additional information for the job:Job Location: Hsinchu Site, Taichung Site, Tainan Site, Taipei Office (Experienced Only)On-call needs: On-call 1 week every 3 months 1. Manager interview2. Hackerrank test3. On-site personality and English test(which could be replaced if you have script of an official English test)4. HR interview5. Second manager interview (Optional assessment)6. Technical review (Optional assessment)

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.As a platform engineer, you will focus on designing, implementing, and maintaining scalable features and services on the platform to support the productionization of applications that supportthe company’s RD/Fab/Business/IT/Security functions to improve the productivity and work quality. Responsibilities: Your responsibilities include:1. Automation and Scripting(1) Develop and maintain automation scripts for configuration, monitoring, and management using tools such as Ansible and Python.(2) Transform repeatable tasks into automation tools to streamline operations and maximize efficiency.(3) Implement Infrastructure as Code (IaC) to automate resource provisioning and CI/CD workflows. 2. Application Development (1) Develop scalable cloud-native microservice architectures for IT applications.(2) Develop state-of-the-art applications and refactor existing ones to improve performance and maintainability.(3) Apply software design principles, such as 12-factor app, to ensure sustainability and quality.(4) Write and implement tests (unit/feature/integration) to guarantee software integrity. 3. Monitoring and Troubleshooting (1) Implement monitoring solutions to proactively identify and resolve network and application issues.(2) Conduct root cause analyses and apply corrective actions to troubleshoot technicalchallenges, including Linux-related systems and logs (e.g., Go code/log analysis).(3) Lead evaluation and adoption of new IT technologies for continuous improvement. 4. (Optional) Network Design and Management (1) Operate and manage network infrastructure, including LAN, WLAN, Firewall, and Proxy.(2) Design, implement, and manage scalable network architecture aligned with business goals and industry best practices. Additional information for the job: Job Location: Hsinchu Site, Taichung Site, Tainan Site, Taipei Office (Experienced Only)On-call needs: On-call 1 week every 3 months The complete interview process includes: 1. Manager interview2. Hackerrank test3. On-site personality and English test (which could be replaced if you have script of an official English test)4. HR interview5. Second manager interview (Optional assessment)6. Technical review (Optional assessment)

Senior Backend Engineer at AIM focuses on designing the most flexible, scalable backend architecture with optimized performance to pave the engineering road of our new products. Develope and operate scalable, reliable and maintainable service-based softwares and related components.Cowork with team members to design system architecture, choose proper technologies and plan development.Design develop server-side architecture function logic of new servicesDesign and maintain database schemas for new servicesEnsures the scalability of the systemEnsure the high performance of responsiveness to requests from the front-endIntegrate the front-end modules built by your coworkers into new servicesResponsible for laying the foundation for the platform as well as proposing solutions to ease software development, monitoring of software, etc.Profiling and performance tuning of critical componentsDeploy system to production and monitor service healthParticipate in idea brainstorming and contribute ideas to technology, algorithms and products

About BTSE:彼特思方舟 is a specialized service provider dedicated to delivering a full spectrum of front-office and back-office support solutions, each of which are tailored to the unique needs of global financial technology firms. 彼特思方舟 is engaged by BTSE Group to offer several key positions, enabling the delivery of cutting-edge technology and tailored solutions that meet the evolving demands of the fintech industry in a competitive global market.BTSE Group is a leading global fintech and blockchain company that is committed to building innovative technology and infrastructure. BTSE empowers businesses and corporate clients with the advanced tools they need to excel in a rapidly evolving and competitive market. BTSE has pioneered numerous trading technologies that have been widely adopted across the industry, setting new benchmarks for innovation, performance, and security in fintech. BTSE’s diverse business lines serve both retail (B2C) customers and institutional (B2B) clients, enabling them to launch, operate, and scale fintech businesses. BTSE is seeking ambitious, motivated professionals to join our B2C and B2B teams.About the Opportunity:We’re looking for a Product Manager to own compliance-critical features across KYC, KYB, AML/Transaction Monitoring, sanctions screening, and fraud/risk controls. You’ll translate regulatory requirements into scalable product capabilities that protect users, reduce compliance risk, and unlock growth across multiple regions.ResponsibilitiesOwn the compliance product roadmap covering KYC, KYB, AML/Transaction Monitoring, sanctions screening, and fraud prevention features.Translate regulatory requirements into product solutions by collaborating with Compliance, Legal, and Engineering teams to ensure adherence to global crypto regulations.Design and optimize onboarding and monitoring flows to improve pass rates, reduce manual review, and maintain strong risk controls.Manage third-party vendor integrations for identity verification, blockchain analytics, and AML screening; evaluate and optimize vendor performance.Define KPIs and reporting frameworks to track verification performance, false positive rates, transaction monitoring effectiveness, and regulatory audit readiness.Requirement5+ years in Product Management, with 2+ years building compliance, risk, or identity products—preferably at a CEX/fintech/payments company.Launched KYC/KYB flows at scale (document/biometric verification, liveness, proof of address, business verification, UBO).Implemented AML transaction monitoring (rules tuning, scenarios, alert triage, case mgmt, SAR/STR workflows) and Travel Rule solutions.Excellent communication skills; able to collaborate across teams and translate user needs into actionable product solutions.Nice to HavesHands-on with at least two providers from each category: identity (Sumsub/Onfido/Persona/Veriff/Jumio), AML (ComplyAdvantage/Elliptic/TRM/Chainalysis), fraud (SHIELD/Sift).Familiarity with privacy/security standards (GDPR, data residency, access controls, encryption).Perks BenefitsCompetitive total compensation packageVarious team-building programs and company eventsComprehensive healthcare schemes for employees and dependentsAnd many more! Apply and let us tell you more!#LI-JY1

身為風控數據工程師，你將負責設計、建置與維運公司的數據基礎設施（Data Platform），確保數據在收集、處理與存取過程中的穩定性、正確性與高效性。 你將與風控團隊緊密合作，透過數據工程與自動化技術，將龐雜的數據轉化為具決策價值的洞察，支持公司在風險管理與策略決策上的持續成長。 【主要職責】 1. 數據管線開發與維運 - 設計、開發並維護 ETL/ELT 流程，整合內外部異質數據來源，確保數據高品質與穩定性 - 建立與維護數據模型（Data Modeling），確保架構具可擴展性並符合業務需求 - 建置監控與告警機制（Alerting Monitoring），即時偵測異常並優化資料流程 2. 數據產品與分析支援 - 與風控、業務及數據分析團隊合作，理解需求並提供適用的數據解決方案 - 設計並開發自動化分析報表與 Dashboard，支援風控監測、產品分析及策略決策 3. 數據平台建置與管理 - 維運與優化數據平台（Data Platform），確保高可用性、可擴展性與安全性 - 管理與調校數據計算資源（如 Spark、Presto），提升效能與資源使用效率 - 建立數據治理（Data Governance）機制，確保資料品質、安全與合規 4. 系統監控與效能優化 - 監控並分析數據系統效能，持續進行架構優化與資源配置調整 - 優化查詢與處理效率，提升系統反應速度與可靠性 - 針對異常數據或流程問題，提供修復與長期優化方案

About Us We are a profitable and growing company, originating in Silicon Valley and now headquartered in Taiwan. We combine intuitive design with Creative AI tech to create inspiring products for millions of people worldwide.We offer a fun, creative, and international workplace with competitive compensation, stock options, flexible hybrid work, free lunch, and more.Ready to make a big impact with a talented team? Come create with us. About The Role At PicCollage, our Machine Learning, Algorithms Data (MLAD) team thrives on solving complex challenges with elegance and scale. As a Backend Engineer (ML Platform), you’ll be at the heart of this—designing and building robust platforms and pipelines that make it seamless to develop, deploy, and monitor ML models used by millions worldwide. You’ll collaborate closely with a team of like-minded experts who love sharing their deep domain knowledge, working together to bring cutting-edge AI research into real-world products. With a culture that champions continuous learning (yes, we sponsor trips to world-renowned conferences like CVPR), you’ll grow as you help deliver high-impact innovations—fast, reliable, and at scale.You will work closely with ML engineers, backend teams, and product teams to bring cutting-edge AI research into real-world products and ensure that models are reliably integrated and operate efficiently in production. This role is sometimes known as MLOps Engineer in other organizations, but we use Backend Engineer (ML Platform) to emphasize strong backend development and infrastructure skills. What You'll Do Design, implement and maintain machine learning platform and data pipelines, ensuring seamless deployment, scaling, and monitoring of models in production environments.Set up monitoring systems for deployed models and tracking key metrics.Apply and share software engineering best practices within the context of machine learning.Collaborate with ML engineers to ensure model performance is maintained in production and work with software engineers to integrate ML systems into the broader application stack.Accelerate machine learning development, evaluation, and integration speed through automation of workflows, tools, and processes to enhance collaboration and efficiency.

About Berry AI 🍟AI is one of the most revolutionary technologies of our generation, driving progress across industries. At Berry AI, we leverage AI-powered cameras to help quick service restaurant chains measure and improve operational performance. Our flagship product focuses on service speed. We've developed an AI video timer that tracks customer wait times—one of the most critical yet often overlooked metrics in the fast-food industry. This data helps restaurants optimize operations, improve training, and refine labor scheduling to enhance service efficiency and drive revenue growth. Our cutting-edge solutions are already helping multiple top-20 fast-food chains improve their service speed, and we are rapidly expanding our customer base. Joining Berry AI means contributing to transformative technology that shapes the future of quick-service restaurants. Berry AI is backed by Flytech Group, the world’s third-largest POS hardware provider, and is headquartered in Taipei (Neihu).Press: https://buzzorange.com/techorange/2024/07/18/berry-ai-flytech-ai-interview/Demo: https://youtu.be/zxDBRPPbLNIAbout the Role We’re looking for a technically strong and execution-driven Product Manager to lead the development and delivery of our AI-powered platform products. This role will be responsible for the full product lifecycle—from ideation, validation, and execution, to delivery and iteration—partnering with AI research, MLOps, and product engineering teams to build user-facing machine learning experiences. The ideal candidate has a computer science background, a proven track record in shipping AI related products from 0 to 1, and excellent communication skills to coordinate across cross-functional teams. We’ll trust you to Own the end-to-end product lifecycle of AI platform features, from problem discovery to launch and post-launch iteration.Collaborate with MLOps, AI researchers, backend, and data teams to deliver scalable and high-impact AI-driven solutions.Define product requirements, prioritize features, and manage trade-offs across engineering feasibility, business impact, and user needs.Drive initiatives related to data pipeline reliability, model deployment tooling, performance monitoring, and AI/ML model delivery infrastructure.Work closely with Design and Customer Success to shape the user experience and gather continuous feedback.Serve as the bridge between business and technical stakeholders, ensuring clarity and alignment at every stage.