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網路攝影機及相關產品的演算法設計、開發和驗證： 1、了解 Linux 系統架構 2、設計 Intelligent Audio-Video Analysis / AI 相關演算法 3、實做 Intelligent Audio-Video Analysis / AI 相關程式庫 4、系統效能分析和最佳化 必須條件 (Minimum Qualifications)： 1、電機、資訊相

系統、用戶畫像、地圖應用結合、圖像搜索、...等系統功能，與開發團隊的產品經理、 UX 設計師、Data Pipeline Engineer、後端工程師密切合作，藉由數據驅動 SkyREC 的客戶提高交易轉換率和會員貢獻度，並從數據中尋找

工作職責： 負責推薦系統和廣告變現相關的數據支持，包括但不限於數據報表平台、數據分析平台等 負責數據的自動化分析處理工作，對巨量數據進行挖掘，產出數據分布規律、變化趨勢、關聯關系

“Make every logistics journey your best one yet” - Quincus The Company. Founded in 2014, Quincus is a B2B supply chain operating SaaS platform headquartered in Singapore. We solve today's global supply chain challenges with groundbreaking technology. Using AI and machine learning, we have digitized and optimized the logistics process while giving customers full transparency into their supply chain. Quincus was founded by two visionary entrepreneurs who possess more than a decade of experience in

‧1年以上 Java、Java Spring framework程式設計與開發經驗 ‧1年以上 jQuery、JavaScript程式設計與開發 ‧熟悉MS SQL並具備資料庫設計能力 ‧具Oracle/IBM DB2相關經驗為佳 ‧具Restful API整合開發經驗為佳 ‧具Machine learning, Web socket, WEBRTC, Data Transmission Security等相關經

負責參與公司核心AI算法設計和研發，承接公司各產品演算法工作；規劃相關算法的技術路線； 負責搭建演算法架構，結合具體業務，實現視頻特效、色彩濾鏡、視頻圖像處理等演算法開發和最佳化

Google welcomes people with disabilities. Minimum qualifications: Bachelor's degree in Computer Science, related technical field, or equivalent practical experience. 5 years of experience with software development in one or more programming languages, and with data structures/algorithms. Experience in Computational Photography, Computer Vision, or Machine Learning. Preferred qualifications: Master’s degree or PhD in engineering, computer science, other related technical field, or equivalent prac

Google welcomes people with disabilities. Minimum qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 10 years of experience in software development, and with data structures/algorithms. Preferred qualifications: Experience in building embedded system software stack. Experience in developing android tests and applications. Understanding of machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep lear

Role: Deploy, manage, and optimize machine learning models in production environments, ensuring seamless integration and efficient operations. Responsibilities: 1. Check deployment pipelines for machine learning models. 2. Review code changes and pull requests from the data science team. 3. Trigger CI/CD pipelines after code approvals. 4. Monitor pipelines, ensuring all tests pass, and model artifacts are generated/stored correctly. 5. Deploy updated models to production after pipeline

Rosetta.ai helps fashion e-commerce uncover consumer's shopping preferences and provide personalized shopping experiences to consumers. We're making e-commerce merchants have enterprise-level AI backup on day 1. We are seeking Deep Learning Engineers, dedicated to Recommender System, to join our data science team. The ideal person will have industry experience working on a range of classification and optimization problems, e.g.click-through rate prediction, recommendation systems, or search