[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.

Topics: One of the following 1. ViT and its speed-up technique. 2. LVMs (large vision models) 3. V&LM (vision language model) / Scene understanding 4. SSL method for vision / V-JEPA 5. Related ecosystem build and test. As a Intern, you will be responsible for survey the state-of-the art method to solve vision problems. Also you have to implement your surveyed methods on our real cases and give estimation results. This position is ideal for graduate students or recent graduates who have a strong background in computer science, artificial intelligence, machine learning, or related fields. --------------------------------------------------------------------------------------------------- Responsibilities: Collaborate with a team of professionals to optimize artificial intelligence models and algorithms. Evaluate and analyze data to identify opportunities for improvement and optimize models. Conduct experiments and tests to validate AI models and algorithms. Communicate effectively with team members, sharing insights and ideas to continuously improve the team's performance. --------------------------------------------------------------------------------------------------- This is a great opportunity for graduate students or recent graduates who are interested in the exciting and rapidly evolving field of artificial intelligence and machine learning. As a intern, you will have the opportunity to work on cutting-edge technology and collaborate with professionals in the field to develop AI models,. 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. 條件要求 Qualifications: - Currently enrolled in a graduate program or recently completed a degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields. - Knowledge of programming languages such as Python, C++, or Java. - Experience with machine learning frameworks such as TensorFlow or PyTorch. - Familiarity with computer vision algorithms. - Strong analytical and problem-solving skills. - Excellent communication and teamwork skills. - Ability to work independently and as part of a team. Requirements: - Currently pursuing a Bachelor's degree or higher in any field of study. - Able to work at least 24 hours a week (4 hours / unit) in summer or winter and 8 to16 hours a week during the semester. - Able to work both independently and as a team. - Good communication skills in both Mandarin and English. - Able to work more than half a year is better.

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.

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.

[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。

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