Cake Job Search

【職務核心】 您將利用海量數據構建核心決策模型，透過自動化手段解決內部的營運痛點。我们需要您具備將數學理論轉化為生產級 (Production-grade) 程式碼的能力。 數據煉金：使用 SQL 從龐大的資料倉儲中萃取 (Extraction) 有價值的特徵，並進行深度分析。模型開發與自動化：應用 Data Mining 與 ML 技術設計自動化工具，優化內部作業流程與決策效率。落地與維運：負責模型的容器化 (Docker) 封裝與部署，監控模型在正式環境的表現，確保系統的高可用性。技術顧問：與跨部門團隊協作，向非技術人員解釋 AI 模型的應用場景與邊界 (Limitations)。

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 an AI/ML Engineer, you will be a key member of a versatile team focusing on both algorithm development and platform implementation for TSMC’s RD, Fab, Business, IT, and Security functions to improve productivity and work quality. The role involves developing AI/ML solutions, implementing scalable platforms to support AI productionization, and maintaining the lifecycle of machine learning models. Responsibility:Common Responsibilities1. Collaborate with cross-functional teams of data scientists, ML engineers, and software developers. 2. Drive the complete AI solution development stages from data collection, exploration, and feature engineering to model evaluation and error analysis.3. Perform model lifecycle management to ensure the validity of models in production. 4. Exercise sound judgment in determining if business problems can be addressed through AI/ML and communicate results effectively to domain users. 5. Operate and maintain scalable, highly available AI platforms with continuous measurement and quality improvement to meet SLO/SLAs. Differentiated Responsibilities1. AI/ML Solution Development(1) Develop AI/ML algorithms that optimize manufacturing processes, improving productivity and work quality. (2) Explain AI/ML models to internal customers and conduct error analysis.2. AI Platform Development (1) Design and implement full tech stack solutions, including data-related technologies and AI platforms.(2) Develop tools, automation, and microservices to extend platform capabilities. (3) Manage container-based workloads and process high volumes of data in environments like Kubernetes.Additional information for the job: Job Location: Hsinchu 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 officially English test) 4. HR interview5. Second manager interview (Optional assessment)6. Technical review (Optional assessment)

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

【工作內容】你將與開發工程師密切合作，協助完成量化交易系統開發及維護，在這個實習計畫中，你將有機會接觸以下工作： 開發與回測高頻或日內量化交易系統擷取與處理交易所（台股以及加密貨幣交易所)之實時數據實盤部署與監控策略執行情況運維交易行情及交易數據監控 【必要條件】 熟練掌握python，能夠使用pandas/numpy/sklearn等package分析和處理資料熟悉C/C++，能夠在linux下開發，部署，測試C++專案熟練掌握基礎的data structure和algorithm (leetcode中等難度）具備基本作業系統(Operation System)和電腦網路知識（大學專業課程程度) 【加分條件】 有獨立的github項目經驗（請提供github repo）熟練使用pytorch，有開發或部署神經網路模型的經驗 具備一定的量化交易系統或者資料系統開發經驗 【適合對象】 大三以上資工、資管、AI、軟體相關科系在學生每週可配合至少3日

公司簡介 我們是一家深耕 AI 演算法與智慧裝置應用 的科技團隊，長期與國際客戶合作，產品需在多族群、多裝置與不同使用場景下維持高度科學性與穩定性。公司正處於品質體系升級關鍵期，期待一位能「從制度、數據到組織」全面掌握品質的技術主管，共同打造可被全球市場信任的演算法產品。 【工作內容】 建立並主導 App / Backend / Algorithm 的整合品質制度與 KPI制定演算法 Validity / Reliability 驗證方法與測試標準建置資料 QC → 模型 QC → 部署 QC → 線上監控的完整 Pipeline主導自動化測試、CI/CD QA 流程與 Release Gate管理演算法實驗室與驗證資料集（ECG / IMU 等）與 Product、RD、Backend、BD 協作，確保品質可交付擔任 Go-to-Market 前的最終品質審核角色領導 App QA、Server QA、Algorithm QA 團隊，負責招募與培育

公司簡介 我們是一家深耕 AI 演算法與智慧裝置應用 的科技團隊，長期與國際客戶合作，產品需在多族群、多裝置與不同使用場景下維持高度科學性與穩定性。公司正處於品質體系升級關鍵期，期待一位能「從制度、數據到組織」全面掌握品質的技術主管，共同打造可被全球市場信任的演算法產品。 【工作內容】規劃並推動公司整體 AI / Algorithm Roadmap（研究、產品化、平台化） 主導模型架構選型、技術創新、產學合作與專利布局 推動 LLM/SLM、Edge AI/TinyML、時序模型、訊號處理、多模態融合落地 監督健康/運動生理相關演算法研發（睡眠、壓力、HRV、能量模型、姿態/動作判定、AI Coach 等） 建立 Edge + Server 混合推論架構（MCU/DSP/NPU/Cloud inference）並確保量產可行 建立公司級 Algorithm Validation Framework 與 QC pipeline golden dataset / regression test / 多設備一致性 / RWD robustness 建置 Data Ops：資料採集策略、標註體系、訊號品質（SQI）與 Data Platform/MLOps 領導 AI/ML、Data、Signal Processing、QC、Lab、Edge Deployment 團隊，持續招募與培育人才 支援大型客戶 POC/Pilot、Joint Development、技術簡報與驗收合作（含晶片原廠/醫療單位）

Realize your potential by joining the leading performance-driven advertising company! As an AIgorithm Engineer in our RD group, you will be a key architect of our AI future. You will be instrumental in building Taboola’s proprietary, in-house agentic framework from the ground up. You will design and develop the core infrastructure that enables Large Language Models (LLMs) to reason, plan, and execute complex tasks. This is a unique opportunity to build foundational technology that will directly influence how billions of people discover the internet. To thrive in this role, you’ll need: Core Engineering Excellence: 3+ years of professional programming experience in Python, Java, with a strong foundation in data structures, algorithms, and building scalable distributed systems.First-Principles AI Expertise: Deep, foundational understanding of how to build agentic systems. You must be able to design and implement the core components, including task decomposition engines, tool schedulers, and memory modules.Analytical Mindset: Strong analytical skills, with experience in performance analysis and debugging complex, non-deterministic systems.Collaborative Spirit: The ability to work effectively in a team environment, with excellent communication and presentation skills to articulate complex architectural decisions.A BS or MS in Computer Science, Artificial Intelligence, or a related field, or equivalent experience. Bonus points if you have: Advanced experience with prompt engineering and optimization specifically for tool-using agents.Experience building complex, event-driven, or distributed systems.Familiarity with other major LLM provider APIs (e.g., Anthropic, Google Gemini, OpenAI GPT) to provide a broad perspective. How you’ll make an impact: As an AIgorithm Engineer, you will: Architect and Build: Design, develop, and maintain Taboola’s proprietary agentic framework, creating the core infrastructure that will power a new generation of AI applications.Research and Innovate: Go beyond existing solutions to research and implement novel approaches to agentic planning, execution, and self-correction.Collaborate and Solve: Work closely with other engineers and product stakeholders to understand their needs and build a powerful, usable internal platform.Lead Technically: Set the standard for agentic architecture at Taboola. Offer guidance on best practices for building our foundational infrastructure to be reliable, scalable, and secure.Communicate and Document: Create clear documentation and present your architectural designs and results to stakeholders across the company. Our Tech Stack: Java, Python, Major Generative AI APIs, Large Language Models (LLMs), Vector Databases, Distributed Systems. Why Taboola?If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about: Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.Well-being: Enjoy comprehensive benefits, a fully stocked kitchen, and location-specific perks.Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda. Ready to realize your potential?Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need. Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, the Taboola Life Blog. About TaboolaTaboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

動見科技從影像 AI 演算法開發到使用者網站平台，打造一個為商業車隊賦能的車隊管理服務，並逐步擴大服務面向。這套已經獲得國內外大型企業採用的解決方案正在尋求一位有經驗的AI演算法工程師:◎《Responsibility》◎- 建立並維護用於與部署模型的基礎架構於終端裝置上(我們以 Android 裝置為主)，並與其他團隊合作開發相關產品和應用- 處理電腦視覺需求，並運用開源機器視覺相關演算法及深度辨識模型，對現有產品進行調校與優化- 進行影像前處理、影像增強等影像處理工作- 應用最先進的計電腦視覺和深度學習演算法，並將其與尖端技術結合，以滿足產品的標準和需求。- 參與問題定義、基準設定、數據集分析/收集、模型設計，並進行微調，以實現所需的準確度和速度。- 將模型組件與產品堆疊進行整合◎《Requirements》◎- 熟悉 Python、Kotlin、Java等程式語言開發，包括使用深度學習和機器學習進行高級電腦視覺解決方案的設計和開發- 具備電腦視覺和深度學習算法方面的知識和經驗- 具備在edge device 或cloud platform上構建和部署電腦視覺和深度學習模型的經驗- 熟悉 Git 版本控制- 具備影像處理、電腦視覺相關演算法開發經驗3年以上◎《Our Preference》◎- 具有深度學習、電腦視覺和數據分析領域算法的強大的基本原理理解，包括模型開發、數據整理、超參數優化、準確度提升以及適應目標硬體- 能夠閱讀、理解並實施人工智能/機器學習技術論文｜ 動見科技是誰 ｜動見成立於2019年，是一間由三位台大教授所創立的破壞式AI新創公司，目前的任務是希望藉由車隊管理來降低危險駕駛行為並維護用路人的安全，未來我們自詡能成為一家Data provider，利用即時影像圖庫提供多元的解決方案。看看動見如何將冷門變熱門最新產品介紹｜為何要加入動見 ｜1. 從車隊管理到即時影像圖資，動見科技的潛能跟舞台無限大，快來看看我們榮獲「2023AI大賞」的專題報導違規、疲勞駕駛AI馬上發出警告，車隊管理如何幫了大忙？2. 由專業評審團針對數位人才轉型、DEI 多元共融、雇主品牌創新指標項目評分，選出代表台灣雇主品牌成功前 20 間優秀企業2023 Yourator雇主品牌大賞-優秀企業得獎者之一3. 2024獲選百大新創之一2024新創100大｜ 新世代工作福利主張｜優渥薪酬完整的獎酬及晉升制度即時獎勵半年績效調薪制度，即時回饋員工額外休假每年額外3天有薪病假與2天有薪事假，有事要請假不用再猶豫彈性工時彈性工時08:30-09:30，不再擔心下雨塞車或是睡過頭教學相長完善新人訓練，還有教育訓練補助給你用每月活動月底Happy hour、慶生會及美味餐點，就是要犒賞你員工出遊每年定期舉辦員工出遊日，放電放鬆一起出遊去，不小心發現同事的另一面明亮環境明亮舒適的辦公空間以及歡樂工作氣氛，標配筆電、外接螢幕及無線滑鼠鍵盤

🦾Company highlights🌱🧠 製造業AI轉型的關鍵 -獨門AI+3D技術 🪁數位攣生與資料合成技術生成3D虛擬環境的新創公司🎯專注在為先進半導體工廠、智慧倉庫和自動化量身定製AI數位孿生2025/1 月完成400萬美元（約新台幣1.3億元）的種子輪募資，包涵黃仁勳首家投資 創立於 2023 年的新創公司，專注於利用數位孿生與資料合成技術生成 3D 虛擬環境。我們致力於將此創新技術與 AI 生成模型結合，模擬物理環境的狀況進行設計，為製造業、智慧倉儲及半導體產業推動數位轉型與實體 AI (Physical AI) 訓練應用。 演算法工程師你將加入我們新創公司的核心演算法研發團隊，這是一個充滿活力的環境，我們運用生成式 AI 模型模擬物理環境的狀況進行設計，並專注於數位孿生與資料合成技術生成 3D 虛擬環境。你將協助處理大規模數位孿生場域中的結構建模、路徑規劃與優化策略等關鍵問題。這些任務通常涉及從 3D 環境資料中建構抽象模型、分析多點供需連結，並將其轉化為高效且可擴展的演算法流程。你將負責設計與優化各類演算法，解決包含障礙避讓、轉彎限制、資源分配等複雜條件下的排程與路徑問題，確保實體邏輯能被有效自動化並整合進我們的推理與生成流程。

About us： VICI Holdings’ Quantitative team is seeking a Quantitative Researcher to integrate knowledge from statistics, information science, and finance to enhance our research capabilities. This role involves applying and learning diverse disciplines such as market microstructure, statistics, and machine learning. “Career Path”: As you achieve research milestones, there will be opportunities to pursue a career in high-frequency trader or quantitative trader, allowing you to develop automated trading strategies and further contribute to our innovative trading solutions.Roles/ Responsibilities：• End-to-end research and development, including idea generation, data processing, strategy back-testing, optimization, and production implementation.• Quantitative Model Development: Building model prototypes and conducting back-testing.• Conduct quantitative research independently including market data analysis, prototyping, strategy parameters tuning, and performance monitoring.• AI Algorithm trading strategy research.