Cake 找工作

我們正在尋找積極、熱愛挑戰的 AI 開發實習生加入 Tera Thinker 的團隊，參與 AI 及 LLM 系統的開發。 在實習期間，你將直接投入實際的產品開發與運作。除了開發並維護目前已上線且服務全台數百所高中的線上學習平台之外，你也將從零開始參與全新服務的開發，親身體驗產品從構想到正式營運的完整流程。透過這份實習，你不僅能累積豐富的軟體工程實務經驗，更能在快速變化的 AI 時代中，培養出人機協作的產品發展與開發思維。 工作內容 技術研究（20%）針對最新的 AI 技術進行調查，研讀論文、程式碼與相關資料實際測試最新的技術或解決方案，並與現行或替代方案進行應用的比較與評估，最後形成決策建議現有服務的改進與重構（40%）分析服務數據，尋找潛在問題，觀察成因，設計改善實驗與解決方案實作方案、進行測試，在不影響既有服務的狀況下部署方案，分析成效並持續改善新服務的設計與開發（40%）了解最新的技術、產品發展及應用現況與 PO 緊密合作，設計真正符合市場需求的功能應用及實現方案快速的從頭打造 Prototype 及 MVP（Minimum Viable Product 最小可行性產品）

Role OverviewWe are seeking an experienced Machine Learning Researcher to join our research team. This role requires expertise in designing and deploying deep learning models within high-performance, low-latency trading systems. You will be working on developing robust, scalable models and integrating them into our trading infrastructure.Responsibilities Data Analysis Preprocessing: Understand and preprocess orderbook data.Deep Learning Model Design: Design models for time-series and orderbook data (Transformers, RNNs, CNNs, Attention).Scalable Training Implementation: Implement parallelized data loading pipelines.Feature Engineering: Develop and optimize orderbook features using C++.Backtesting Evaluation: Conduct rigorous backtesting across markets.Production Integration: Deploy models into real-time, low-latency systems.

1.針對半導體機台智能製造 IoT Data Connecting 相關技術的建構與整合 2.IoT 網路Data Connecting 技術與開發 3.IT System 整合開發 4.網頁設計與架構技術開發 5.IoT系統設計與自動化維運開發 6.GenAI 應用專案開發 7.日管維運、建立SOP、維持系統穩定 8.持續精進強化專業技能，提升競爭力

GenAI 技術理解與應用: 熟悉 LLM、RAG、embedding、fine-tune、prompt engineering 等 genAI 相關技術方法。1.資料分析與演算法/模型優化: 能處理自然語言, 影像及數值類等多模態數據, 具備應用向量資料庫、rerank 技術, 並能進行效能分析與改善。2.系統與平台建置: 具備雲端或地端部署經驗, 熟悉 Kubernetes/Docker, 能開發與整合 GenAI 平台或 workflow 工具 (如 n8n , dify,langflow)。3.軟體工程與架構設計: 具備良好工程基礎, 熟悉 API 開發、模組化設計、CI/CD，自動化測試與維運。4.自動化與流程整合: 具備 RPA 或流程自動化經驗與影像處理AOI經驗, 能將 GenAI 技術串接內部系統與業務流程。

1.依部門訂立之計劃，落實執行，達成目標，當責 GenAI 平台及應用專案開發，協助各部門增進效率，解決部門痛點，提昇公司長期競爭力 2.GenAI 系統平台建置 3.GenAI 應用專案開發 4.日管維運、建立SOP、維持系統穩定 5.持續精進強化專業技能，提升競爭力

1.針對半導體機台智能製造 IoT Data Connecting 相關AI技術的建構與整合 2.IoT 硬體Data Connecting 技術與開發 3.IT System 整合開發 4.熟悉半導體生產機台 5.IoT 行動裝置App 設計 6.AI 應用專案開發 7.日管維運、建立 SOP、維持系統穩定 8.持續精進強化專業技能，提升競爭力

Our Product Vulcan is a cybersecurity solution specifically designed for GenAI, offering two core services: Red Team (vulnerability assessment) and Blue Team (real-time defense). It ensures GenAI compliance, cybersecurity robustness, and operational integrity. Since its official launch in 2024, Vulcan has been recognized by the international standard-setting organization OWASP as a certified vendor for LLM GenAI security testing and assessment. It is one of the few solutions capable of supporting multiple Asian languages (Traditional Chinese, Simplified Chinese, Japanese, Korean, Thai) and Standard Arabic.Learn more about us 👉 Vulcan product: https://vulcanlab.ai/Vulcan LinkedIn: https://www.linkedin.com/company/vulcanlab-ai/AIFT group: https://aift.io/Tech Blog: https://medium.com/onedegree-tech-blogAbout the roleWe are looking for a talented Machine Learning Engineer to join our Product Core Engineering team. You will be responsible for building and optimizing machine learning workflows that directly power our AI-driven products. This role focuses on the full lifecycle of model development — from training and fine-tuning to deployment and monitoring — ensuring robust and efficient ML systems at scale. Why Join Us?Product Impact: Your work will be directly embedded in our core AI products, shaping user experience and product capabilities.Engineering Excellence: Be part of a team that values high-quality engineering, reproducibility, and scalability.Innovation: Opportunity to experiment with cutting-edge ML and GenAI technologies in production settings.Collaboration: Work alongside backend, platform, and product teams in a highly collaborative environment.Competitive Package: Receive attractive compensation and benefits aligned with your skills and performance. Key Responsibilities Model Development: Design and implement training processes for machine learning classifiers and generative models.Fine-tuning Prompting: Adapt pre-trained models to specific product needs through fine-tuning, prompt engineering, and parameter optimization.Hyperparameter Management: Configure and tune hyperparameters to balance accuracy, robustness, and performance.Pipeline Engineering: Build scalable training and evaluation pipelines to support continuous experimentation.Integration: Collaborate with backend and product engineers to deploy models into production systems.Monitoring Maintenance: Establish monitoring metrics and retraining strategies to maintain model performance in dynamic environments. -

1. 搭建工業AIGC SaaS平台、實現生成式圖像與訊號AI模型2. 實現深度學習工業大型AI模型搭建與調適3. 各類工業數據探索，如加工數據、機台狀態、傳感器訊號、圖像等特徵工程分析4. 實現AI計畫應用落地生成式(gen)AI 於工業場景專案研究開發

1.AOI 或 行為辨識領域算法開發，熟悉切割、定位、分類AI模型；具備：姿態辨識、追蹤算法、非監督式分類、非監督切割、非監督定位等模型佳2.具備工業AI檢測與安保攝像頭行為辨識經驗3.實現外觀檢、異常診斷、人因工程分析等功能

Mechanical Engineer Reality Labs is developing the future of augmented reality (AR) products. As an Opto-Mechanical Engineer for the display and optics team, you will be part of a team brining new concepts from prototyping thru to mass production. You will be developing advanced technologies and designs, and working within evolving ecosystems to provide differentiating capabilities to our HW platforms. You will be part of a group of engineers at the forefront of the innovation for AR products. RESPONSIBILITIES● Drive Mechanical Engineering activities in a cross-functional hardware team ● Model, build, test, and refine AR products and prototypes ● Work across the full product development cycle, from concept inception to shipping product ● Apply rigorous engineering and tolerance techniques to high precision design requirements in the areas such as Optics, Mechanics, and Motion Control ● Coordinate with manufacturers and cross-functional teams on DFM activities, production bring up, and part and assembly qualification