百威雷科技有限公司

Company Introduction

40 Employees
台北市中山區中山北路2段96號前棟14樓1413室
Contact Person
Christine Sum
Phone
02-66058100
We give manufacturers the Power to change everything. PowerArena is founded by ex-Googlers. We started at Stanford’s StartX program with teams around the world from Taiwan, United States, China, Mexico to Hong Kong. With three out of the global top five EMS enterprises enhancing production efficiency with HOP, our AI Vision solutions are now live in hundreds of factories across major manufacturing countries. PowerArena’s Human Operation Platform (HOP) digitizes your manual production line with AI vision. HOP provides real-time transparent data for labor-intensive production lines. With 24/7 data collection, AI vision analysis, and instant traceability, HOP redefines your production line. Identifying bottlenecks and provides a valuable data base for SOP compliance, line balance, and IPQC. HOP supports every decision you make and help you achieve data ownership, paving a smoother route for your smart manufacturing journey. PowerArena 提供 AI 視覺驅動得智慧製造解決方案。 PowerArena 由前 Google 創始員工創立,從史丹佛創業孵化器(Stanford’s StartX)開始了我們的旅程,現於台灣、美國、墨西哥、中國、香港等地都成立服務據點。我們的智慧製造解方已踏足六個國家,且導入三家全球前五大 EMS 廠,PowerArena AI 視覺系統幫助多位企業夥伴提升生產效能。 PowerArena 人因作業平台 (Human Operation Platform, HOP) 用 AI 可視化生產作業,為勞力密集的產線,提供即時、透明化的生產資訊。HOP 具備 24/7 影像搜集、AI 視覺分析與隨時回溯等特點,完整掌握產線資訊,幫助辨識作業瓶頸,為 SOP 遵守、線平衡表現和製程品管改善,提供有價值數據基礎。HOP 支持每一項決策,讓管理者握有數據主權,幫助達成智慧製造,自信營運。

Industry Sector
其它軟體及網路相關業
Related Links
Company Website

Main Products

PowerArena stands at the forefront of AI vision technology with its cutting-edge solution, the Human Operation Platform (HOP). Designed specifically for manufacturers, HOP represents a pioneering AI application that excels in capturing manual production data and ensuring the integrity of crucial operational steps. HOP comprises three essential tools for any manual production line: 1. Digital Station: Serving as a dynamic data hub, Digital Station converts tangible production data into valuable digital assets. It seamlessly integrates with open API standards and MES, enabling the extraction of detailed data from manual processes with ease. 2. AI Line Balancing: Utilizing HD off-the-self video cameras to capture production activities, our advanced AI vision technology processes and analyzes the footage through HOP. It collects precise cycle time data from each workstation, allowing HOP to generate detailed data dashboards. Industrial engineers leverage these insights to enhance line efficiency and balance. This AI-driven recording of the production process also facilitates thorough part traceability and process verification, significantly enhancing production accuracy and efficiency. 3. AI Poka Yoke: HOP's AI Poka Yoke feature detects problems as they occur, preventing cascading issues caused by human operators on the production line. HOP includes AI work step detection and dynamic work instructions, enabling factories to monitor key processes in real time. It provides instant alerts and prevents errors from progressing. AI Poka Yoke achieves stringent process quality control and minimizes defect rates. By preventing errors at their source, this approach reduces the necessity for rework and decreases quality control costs. Additionally, it facilitates the remote monitoring of production lines. PowerArena 的旗艦產品,人因作業平台(HOP),為製造商提供先進的 AI 解決方案,擅長提取勞力密集產線的數據,並保護關鍵工作步驟。對於勞力密集產線來說,HOP 包含三個要素: 1. 數位工站:這是一個多功能數據中心,將現實世界的生產數據轉化為數字資產。完全支持開放 API 標準和 MES 系統,HOP 能夠輕鬆提取勞力密集產線的細節數據。 2. AI 線平衡:使用市售的高畫質攝影機記錄生產畫面,再透過 HOP 處理和分析這些畫面。它收集來自每個工作站的週期時間數據,呈現全面的數據管理介面,工業工程師可實時使用管理介面,以改善生產線效率。藉由過 AI 識別瓶頸,協助根源分析,提供完整數據,揪出低效率肇因,使用者可以追蹤組裝過程中的任何部分,增強核查和驗證程序,以改善生產線平衡,提高整體生產輸出。 3. AI Poka Yoke(數位防呆):HOP 的 AI Poka Yoke 功能能夠在問題發生時立即檢測,檢查作業員是否依照 SOP 執行工作,防止引起生產線上的連鎖反應問題。它包括 AI 工作步驟檢測和動態工作指示,使工廠能夠即時把關關鍵工序,即時告警,預防錯誤出站,實現製程品管,降低不良率。從源頭確保防止錯誤,減少重工與品管成本,也方便遠端管理產線。

Benefits

- 組織扁平,任何人都能發表自己的想法,和創始人共同工作 - 完善年度之評分與職涯規劃,分享與公司成長的回報 - 到職日第一年即享有 12 天有薪假,未滿一年依比例計算 - 海內外員工Team Building 活動 - 年度員工免費健康檢查、補助家屬健康檢查 - 能於香港總部及其他地區辦公室國際化團隊合作,發揮影響力讓世界都看見 - 每一季舉辦 all-hands meetings,讓全公司成員都能得到關於公司目標、決策的最新資訊 - 零食飲料無限量供應,全自動咖啡機沖煮出超好喝現磨咖啡 - 舒適又多樣化的辦公室,茶水間電話亭都能隨意使用,無需坐人體工學辦公椅一整天,高腳椅也是很棒的選擇,仰望最高樓之三面景觀,黃昏大景

Company & Workplace

Jobs

AI Software Engineer / Machine Learning Deployment Engineer 百威雷科技有限公司
Monthly Salary NT$ 60,000+
台北市中山區
經歷不拘
[Job Title]: Machine Learning Deployment Engineer [About Us]: Founded by ex-googlers and started at Stanford’s StartX program, PowerArena now has offices in the States, Taiwan, Hong Kong and China. We are a fast-growing, research-driven company building AI solutions that helps manufacturing corporations and factories assembly operations overcome the challenges they face in productions every day. We are a fast-growing, research-driven company building AI solutions that helps corporate and factories overcome the challenges they face every day. Using novel machine learning techniques, we are revolutionizing the industry and have a track record of building things that others have ruled out as impossible. Our team is our best asset. We work with smart and talented individuals, who all enjoy a high degree of responsibility and independence in structuring their work. The team are looking for passionate data scientist who is keen to work with like-minded individuals in a rapidly evolving environment. =====[Job Description]===== [Position Overview]: The ML Deployment Engineer will be responsible for deploying machine learning algorithms developed by our data scientists into production environments. This includes both backend servers and edge devices. The ideal candidate will have a strong background in machine learning, software engineering, and experience with deployment and monitoring of ML models in diverse environments. [Key Responsibilities]: - Deploy ML Algorithms: 1. Collaborate with data scientists to understand the algorithms and deployment requirements. 2. Implement and optimize ML models and related logics in backend servers and edge devices. - Backend Deployment: 1. Set up and maintain ML models on server infrastructures. 2. Ensure seamless integration with existing backend systems. 3. Monitor and optimize model performance in production environments. - Edge Device Deployment: 1. Adapt and deploy ML models to edge devices ensuring efficient performance. 2. Manage the deployment pipeline for edge computing environments. 3. Troubleshoot and resolve issues related to model performance on edge devices. - Automation and CI/CD: 1. Develop and maintain CI/CD pipelines for ML model deployment. 2. Automate deployment processes to ensure fast and reliable model updates. - Monitoring and Maintenance: 1. Monitor deployed models to ensure they meet performance and accuracy benchmarks. 2. Conduct regular maintenance and updates of deployed models. 3. Implement logging and alerting mechanisms to proactively address potential issues. - Documentation and Collaboration: 1. Document deployment processes and configurations. 2. Work closely with cross-functional teams including data scientists, software engineers, and DevOps teams. 3. Provide support and guidance to team members on best practices for model deployment. - Share technical knowledge with team members. [Qualifications]: - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - Proven experience in deploying machine learning models to production environments. - Strong programming skills in languages such as Python, Java, or C++. - Experience with ML frameworks such as TensorFlow, PyTorch, or similar. - Experience with model and code optimization. - Proficiency in containerization technologies (Docker, Kubernetes). - Experience with edge computing and deploying models on edge devices. - Familiarity with CI/CD pipelines and DevOps practices. - Strong problem-solving skills and ability to troubleshoot deployment issues. - Excellent communication and teamwork skills. [What We Offer]: - Flexible working environment - Competitive salary and benefits package. - Opportunity to work on cutting-edge projects with real-world impact. - Collaborative and innovative work environment. - Professional development and training opportunities.
Full-time
Entry-level
English Required
10/04 Updated
資深產品經理 Senior Product Manager 百威雷科技有限公司
Monthly Salary NT$ 80,000~120,000
台北市中山區
3年以上
Highlights: - Manufacturing AI startup founded by ex-Googlers. - First key hire in product management / product marketing. - Friendly startup culture. About us: Today it takes just a second to search millions of web pages. But you’ll still spend 10 minutes driving aimlessly around a city just to find a parking slot. By applying machine learning and computer vision to digitize the physical world, we can easily solve many inefficiencies with computer algorithms. That’s why we founded PowerArena. We are a deep learning video analytics platform to help manufacturers to identify assembly line bottlenecks and enhance SOP compliance. Based on our patent-pending technology, PowerArena increases their productivity by 10% and reduces defect rate by 80%. Our customers include Fortune 500 companies and we have deployments in Greater China, Southeast Asia and USA. Responsibilities: - Discover opportunities and define positioning through customer interviews, competitor analysis and data analysis. - Manage the roadmap to achieve business objectives. - Create communication assets for sales and marketing. - Drive product-led growth by optimising the pre-sales customer journey. Requirements: - 3+ years in product management / product marketing, preferably in B2B SaaS. - Experience in working with UX designers and software engineers. - Show empathy / being able to understand customer’s pain points deeply. - Able to create strong value propositions and messaging. - Able to effectively communicate to all stakeholders: customers, partners & internal teams. Great to have: - Experience in manufacturing, AI and SaaS. - Experience in digital marketing / demand gen. - Experience in product-led growth.
Full-time
Senior Level
English Required
10/04 Updated
Digital Marketing & Sales Development Intern 百威雷科技有限公司
Hourly Wage NT$ 183+
台北市中山區
經歷不拘
We are looking for a like-minded individual to participate in our 6-month internship program, in this role, you will be part of our Sales and Marketing team and learn about the process of B2B sales development and digital marketing. Throughout the program, you will: - Conduct industry market research - Effectively identify potential customers and reach them through e-mail or phone - Compose professional digital contents for company website and media outlet - Assist with content translation and provide administrative support - Work with team members to reach marketing goals - Operate and manage media accounts - Learn the process of SDR - Gain knowledge in factory/manufacturing operations and industry 4.0 Requirements: - Currently pursuing a Bachelor's degree or higher in any field of study - Able to work at least 20 hours a week (4 hours / unit) - Motivated and interested in inbound/outbound marketing - Able to work both independently and as a team - Good writing skills in both Mandarin and English - A plus to have video editing experience - Good communication skills in both Mandarin and English About us: Founded by ex-googlers and started at Stanford’s StartX program, PowerArena now has offices in the States, Taiwan, Hong Kong and China. We are a fast-growing, research-driven company building AI solutions that helps manufacturing corporations and factories assembly operations overcome the challenges they face in productions every day.
Part-time
Entry-level
10/04 Updated
工業數據分析師 Industrial Data Analyst (依公司需求海外派駐) 百威雷科技有限公司
Annual Salary NT$ 1,000,000+
台北市中山區
經歷不拘
We are a fast-growing, research-driven company building AI solutions that helps corporate and factories overcome the challenges they face every day. Using novel machine learning techniques, we are revolutionizing the industry and have a track record of building things that others have ruled out as impossible. Our team is our best asset. We work with smart and talented individuals, who all enjoy a high degree of responsibility and independence in structuring their work. The team are looking for a passionate data analyst who is keen to work with like-minded individuals in a rapidly evolving environment. 職務職責 -負責數據分析 -運用數據分析工具,針對模型建立的相關參數進行資料探勘,持續提供高品質、高效率的 最佳解或替代方案 -協助推進智慧製造企劃落地 -協助用戶與技術之間的溝通 -協助系統的規劃、測試、落地以及運送 -負責用戶培訓、指導用戶以及製作使用手冊 -負責相關文件的更新及優化 資格: -大學以上學歷,具備工業,工程,統計,數學,計算機等相關專業 -三年以上相關工作經驗 -具有出色的工程邏輯思維和文件撰寫能力 -熟悉使用Excel, PowerPoint等軟體來處理、報告數據 -了解製造業的生產流程及營運系統。了解智慧製造具優先資格 -Lean, 6 Sigma 綠帶或以上具優先資格 -精通英文口說及聽力 -熟悉如Power BI, Tableau, Python, R 等資料分析工具優先 -性格開朗、團隊合作精神 -高工作熱情、能承受工作壓力、很強的自學能力 **Please attach a copy of your resume in English. **欲應徵者請附英文履歷提供審查
Full-time
Entry-level
English Required
10/04 Updated
AI影像標註員/實習生 (Annotator/Intern) 百威雷科技有限公司
Hourly Wage NT$ 183~183
台北市中山區
經歷不拘
[公司介紹] PowerArena創辦人Ken是一名連續創業家,PowerArena是他所創立的第二個品牌。 從史丹佛(Stanford)名校畢業後,Ken的職業生涯始於美國Google總部,是Google首批華人員工之一,可說是親眼見證Google的成長。他開發的項目之一是尋找相關網頁的演算法,建立根據大數據來評估Google搜尋效果的系統,接著在2007年返回香港創辦了MotherApp,並於近幾年創辦了PowerArena。 PowerArena以人工智慧及大數據為基礎的智慧人流管理及分析系統為主要開發領域,該系統可適用於勞力密集的智慧工廠管理。PowerArena使用影像辨識及深度學習AI技術為製造業實時收集和分析生產現場資料,找出製造效率的瓶頸問題,達成優化生產效率的目的。 [工作職責] 在人工智慧的領域,大量且優質的影像數據是 AI 應用成功的關鍵之一。本職位之工作內容即為協助資料科學家整理、標註訓練用資料,建立良好的訓練數據庫。團隊正在徵求一群細心、具有良好溝通能力且樂於擁抱新科技的標註人才。 [招募對象] • 過去曾有相關標註經驗的技術人才。 • 有企圖心以影像標註作為進入AI領域的跨界人才。 • 具備細心且快速學習力的優質人才。 [工作內容] • AI影像標註。 • AI產品測試及回饋。 • 任務完成所需的交辦事項。 [彈性排班] • 每週一至週五的工作時數至少為24小時,以半天(4小時)為單位。
Part-time
Entry-level
10/03 Updated