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The Role At Circle, the AI Team is responsible for: Developing and maintaining internal and customer-facing computer vision services, and building machine learning pipelines to improve and expand our products.As a backend engineer, you will own core backend services that support our computer vision applications, including the design and implementation of our machine learning pipelines. Be ready for novel challenges—issues and concerns you encounter may differ from your previous work experience given the nature of large-scale machine learning and streaming video, e.g. GPU-bound issues and real-time systems that have already processed many billions of frames. What You'll Do You will face streaming, network, computer vision, machine learning, application optimization, and cloud infrastructure issues very often. You will work with researchers, engineers, and designers in Taipei, London, and San Francisco. Communication skills matter. We are moving fast to handle a dramatically increasing number of cameras. Scalability and efficiency are our chief concerns.

【關於我們 - Data Munger AI】 Data Munger 致力成為企業與實用 AI 解決方案間的最佳夥伴，從導入一路陪伴到落地。 在人人喊AI的時代下，真正為企業打造一個會持續進化的「AI 大腦」讓決策更快、流程更簡，讓人力價值最大化。 官網： https://datamunger.io/ 💼 工作職責 資料處理管道設計與開發 使用 Python 與 BigQuery SQL 為 AI 應用設計、開發及維護資料處理流程，確保機器學習模型可獲取高品質資料。ETL/ELT 工作流程構建 建立並優化 ETL/ELT 流程，確保資料自動化處理與數據一致性。RAG 系統實作 應用 RAG（檢索增強生成）技術，提升 AI 互動的準確性與上下文相關性。向量資料庫與查詢優化 優化向量資料庫（如 Pinecone、Qdrant）及 SQL/BigQuery 查詢效能，提升 AI 搜尋與回應速度。API 建構與維護 使用 Python 框架（FastAPI、Flask）建立並維護資料處理與 AI 服務 API。機器學習模型與資料管道部署 在雲端基礎架構（主要以 GCP 為主，並整合部分 AWS）上部署 ML 模型與資料管道，實踐 MLOps 原則以確保部署具備可重現性、擴展性及監控能力。跨部門協作與技術創新 與資料科學家、AI 研究人員及前端團隊協作，共同打造端對端 AI 產品，並持續導入最新技術以優化解決方案。

集雅科技以全球市場為目標，專注於 AI 影音應用創新。在此您將接觸多元領域技術知識，累積專案管理及商務開發經驗。工作內容：1. 產品業務推廣及提案撰寫-包含產品特性說明、應用場景分析等-市場分析與策略規劃-研究市場趨勢、競品分析-協助制定商業策略2.產品理解與客戶服務-深入了解產品功能與應用3.提供專業的客戶諮詢-國際商務與活動參與4.參與海內外視訊會議-協助展覽活動執行5.專案流程與進度管理-協調跨部門合作-確保專案如期完成*此職位需要先進行英文遠端筆試，投遞前請先考慮清楚喔！

Company highlights Over 100 million users worldwideDiverse product offerings, including cryptocurrency exchange, payment services, DeFi wallet, and NFT marketplace ResponsibilitiesResponsible for backend development, system architecture design, code review, and implementation.Develop prototypes for new products, lead project execution, and experiment with innovative technologies and solutions.Solve complex problems in large-scale backend architecture and mobile platforms, ensuring system performance and stability.

As an AI Developer, you will be responsible for implementing AI-driven solutions based on the requirements and research findings. Your primary role will be to bring innovative AI applications to life and integrate them into our existing e-commerce platform. Develop and implement AI-driven solutions to enhance product offerings, customer experience, and operational efficiency. Understand business requirements and translate them into technical specifications and actionable plans. Design, build, and test AI models and algorithms to solve specific business problems. Collaborate with researchers, software engineers, and other stakeholders to integrate AI solutions into the existing e-commerce platform. Monitor and maintain AI solutions to ensure optimal performance and accuracy. Stay up-to-date with the latest advancements in AI and related fields to identify new opportunities for innovation.作為一名 AI 開發工程師，您將負責根據需求與研究成果實現 AI 驅動的解決方案。您的主要職責是將創新的 AI 應用落實並整合至我們現有的電子商務平台中。職責內容包括：開發並實作 AI 驅動的解決方案，以提升產品功能、客戶體驗與營運效率。理解業務需求，並將其轉化為技術規格與可執行的計劃。設計、建構並測試 AI 模型與演算法，以解決特定的業務問題。與研究人員、軟體工程師及其他相關人員合作，將 AI 解決方案整合至現有電子商務平台。監控與維護 AI 解決方案，確保其最佳效能與準確性。持續關注 AI 及相關領域的最新發展，尋找創新應用的新機會。

awoo 阿物科技以深厚的 SEO 顧問專業起家，成功轉型為服務全球逾 16,000 家企業的 MarTech 領導品牌。面對生成式 AI 改寫企業營運與消費者行為的巨浪，awoo 結合「頂尖 AI 技術」與「十年顧問實戰經驗」，推出具備市場前瞻性的 GEO (Generative Engine Optimization) 與 LLMO 解決方案。我們致力於協助企業在大型語言模型主導的未來，不僅被 AI 看見，更被精準引用與推薦，將 AI 轉化為企業持續成長的最佳 Agent。 Major Duties and Responsibilities： 產品落地與協作：負責開發和優化 AI 產品與服務，從 PoC 到產品化，跨部門合作提出創新解決方案，推動 AI 產品落地。效能優化：維運現有系統，分析並解決服務和算法的效能瓶頸。ML/Data Pipeline：設計與建立可擴展的 Pipeline 自動化流程，提升開發和部署效率。 Qualifications： 具備 5 年以上軟體開發經驗，3 年以上 AI 產品研發經驗。熟悉自然語言處理（NLP）、生成式 AI 相關技術（LLM, RAG, Prompt/Context Engineering），使用開源套件或自行開發算法（Transformers, LangChain, LangGraph, DSPy, TensorFlow, PyTorch, Scikit-Learn）。具備模型的開發、訓練、部署、優化的完整實務經驗。具備使用 Container 和 Kubernetes 的開發與部署經驗。熟悉向量資料庫與 Embedding 模型，確保系統效能與可擴充性。熟悉分散式計算與查詢引擎（如 Spark、Trino、Clickhouse），具有處理大量資料處理開發與維運經驗。熟練 Git, Linux, Python, Docker, SQL，能以 FastAPI 開發高效服務。 Nice-to-Have： 雲平台經驗，如 GCP, AWS, Azure。具有 LLM/SLM Finetuning 實務經驗。MLOps/LLMOps 專案經驗，以量化指標來衡量模型和產品的成效。規劃與實作 CI/CD 自動化流程。具備推薦、搜尋或貼標系統的產品化經驗 擅⻑工具（JD 標籤） 程式與開發：Python, Git, Linux, SQL, FastAPIGenAI：RAG, Prompt Engineering, Context Engineering, Agent資料與運算：Airflow, Spark, Trino, Vector Database, Qdrant平台與部署：Docker, Kubernetes, Cloud, GCP, AWS, Azure

About the Role We’re looking for a Senior AI Algorithm Engineer with a strong background in image processing and vision-language AI. You will lead the design and optimization of cutting-edge computer vision and inference algorithms, with applications spanning color analysis, image stitching, and multimodal understanding. This role requires hands-on experience in deep learning, cloud deployment, and production-level AI integration. You’ll also work with frameworks such as NVIDIA NeMo and deploy AI services using NIM to cloud platforms like GCP and AWS, with Kubernetes for orchestration. What You’ll Do Design and implement deep learning models for image processing, object detection, and anomaly detectionDevelop models for color recognition, color classification, and image-based feature analysis Fine-tune or integrate Large Language Models (LLMs) for vision-language tasks such as captioning, semantic search, and classification Optimize models for accuracy, inference speed, and resource efficiency Deploy and scale model services on GCP / AWS using Kubernetes (K8s) Utilize NVIDIA NeMo to train and deploy LLMs or VLMs, and package models into lightweight Docker containers served via NIM architectureCollaborate closely with product, frontend, and backend teams to integrate AI features into real-world applications

職缺描述｜About the Role 我們正在尋找一位具備強烈好奇心與技術敏銳度的 AI 應用研究員（AI Researcher），協助探索生成式 AI 與最新人工智慧技術在 Print-on-Demand（POD）電子商務中的應用機會。 此角色將負責技術研究、模型評估、概念驗證（PoC）開發，並與產品與工程團隊密切合作，將創新的 AI 應用落實到實際營運流程中。工作內容｜Responsibilities AI 技術研究與應用探索 研究生成式 AI、電腦視覺、LLM、RAG 等技術在 POD / 電商領域的應用機會 挖掘並分析最新 AI 模型、工具與框架，評估其可行性 根據產品與營運需求，提出 AI 解決方案的技術建議與創新方向 PoC 與原型開發 快速開發小型原型（Prototype）以驗證使用者流程與模型效果 進行模型比對與實驗，找出表現最佳方案 與後端工程師合作，將 PoC 轉為可上線模組 跨團隊協作 與產品、營運、工程團隊合作，找出流程可優化環節 撰寫技術研究報告，呈現研究結果及未來建議 定期更新專案進度與技術洞察 持續探索與知識分享 追蹤業界最新 AI 技術與研究論文 了解競品 AI 工具與使用案例 在團隊內部分享 AI 趨勢與研究成果

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.Location: West Palm Beach, FL or New York, NY The Role: We are seeking an exceptionally talented AI Scientist to join the Artificial Intelligence team at WorldQuant. The successful candidate will: Conduct research in the Machine Learning field to improve multiple aspects of the investment pipeline Produce trading or predictive signals using innovative Machine Learning algorithms Apply the latest in LLM based agentic technology to develop and test innovative trading signals and algorithms Implement signal compression and combination techniques using Machine Learning tools Implement state of the art machine learning algorithms Design deep learning architectures. Develop model frameworks for investment professionals Collaborate with portfolio managers and researchers to optimize machine learning algorithms Communicate optimally with team members, researchers, and portfolio managers What You’ll Bring: PhD degree in a quantitative or highly analytical field (e.g., Computer Science, Physics, Mathematics, Statistics, or a related field) 2+ years of research or work experience applying Machine Learning in innovative ways to complex problems Graduated at the top of your respective educational program, with excellent problem-solving abilities, insight, and judgment with a strong attention to detail Demonstrated ability to program. Strong development skills and proficiency in C++, Python, and PyTorch. Demonstrated science aptitude via record of creativity and inventions. Ability to run experiments and perform statistical inference. Experience with software development tools and practices, such as version control (e.g., Git), continuous integration, and testing frameworks Advanced practitioner-level knowledge of statistical inference, machine learning, software solvers, and/or mathematical optimization Strong communication skills; ability to express complex concepts in simple terms Our Benefits: Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of: twenty vacation days that are pro-rated based on the employee’s start date, at an accrual of 1.67 days per month, three personal days, and ten sick days. Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code Training: learning and development courses, speakers, team-building off-site Employee resource groups Pay Transparency: WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations. When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package. The Base Pay Range For This Position Is $150,000 - $200,000 USD. At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws. If you believe any required details are missing from this job posting, please notify us at [email protected], and we will address your concerns promptly.By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

想要的不只是工作，而是能讓你持續進步的舞台？ 在傳旭，我們讓專案管理不只停留在「控管進度」，而是透過 AI技能訓練 + 實戰專案經驗，讓你快速升級成為新世代專案管理人才！ 你將主導專案從接案、排程、預算控管到系統交付的每一個關鍵時刻，並與設計師、工程師、行銷同仁密切合作，真正發揮跨領域整合的價值。 ✨ 我們提供獨特的人才培養機制 AI專業培訓：公司提供 AI 技能課程（如 企業AI 流程自動化應用 課程），讓你學會如何將 AI 工具應用在流程優化、數據分析與專案自動化 跨領域實戰經驗：與不同專業的團隊緊密合作，全面培養專案管理能力 成長曲線加速：完整參與專案全流程，從需求訪談到成果交付，快速養成全局視野 你會做的事 主導專案規劃與執行，確保進度、成本與品質達成目標 進行跨部門協調，整合設計、程式、行銷等資源 熟悉客製化系統開發、企業官網建置、CMS 系統等 能針對不同專案提出流程優化建議並落實執行 在專案執行中具備清楚的成本概念 我們期待你 具備 Web-base 專案相關技術觀念 有系統開發或行銷廣告產業經驗者佳 對專案管理、流程優化與團隊協作有高度熱情 喜歡學習新技術，樂於將 AI 工具融入專案流程 為什麼加入我們 成長加速：公司提供 AI 與專案管理的專業培訓 跨領域合作：與設計、工程、行銷團隊協作，全面提升能力 影響力舞台：你的專案將直接影響客戶的數位行銷成效** 公司基本上不鼓勵加班，若臨時因客戶有需求或有較緊急的業務需配合加班時，公司會提供加班申請，給予相應的報酬或休假** 瞭解更多傳旭工作特色 https://www.dc.com.tw/recruit聽聽DC專案經理怎麼說:Ashley 的經驗談 https://youtu.be/EBKaS_wJnpk?si=0hBl2T2DCQSv6Tsv