轉職熱搜工作

主要參與車用與移動載具之AI演算法開發與優化，工作項目包含： 1. 語意分割演算法開發如SAM2 2. 單目視覺演算法之開發與校正流程建立 3. 利用 TensorRT 進行模型加速 4. 實驗設計與功能測試

開發並優化車用/多足用移動機器人 AI 演算法： - 視覺三維物件框 (3D Bounding Boxes) - 視覺佔用網格 (Occupancy Grid) - 強化學習 (Reinforcement Learning, RL) 移動控制 - 模擬環境與驗證 (issacsim) - 深度學習演算法軟硬部署與實驗測試

參與Omniverse平台自主移動機器人模擬器開發及功能驗證，工作內容包括: 1. 協助使用Isaac sim開發自主移動機器人模擬器 2. 與自主移動機器人演算法(如視覺導航)串接並進行功能驗證

1. Conduct data collection, preprocessing, analysis, feature engineering, AI development, and deploy AI application services. 2. Utilize machine learning, generative AI, and data analytics technologies to design AI models for specific applications (e.g., robotics, healthcare, cybersecurity, energy, etc.) using unstructured data (e.g., videos, images, log data, human behavior, network traffic packets, etc.). 3. Optimize and integrate distributed training and large-scale AI model optimization tools and frameworks (e.g., Horovod, FairScale, DeepSpeed, etc.). 4. Collaborate with cross-functional teams to understand business requirements and propose solutions.

Develop AI imaging technology for smart robots and robotic dogs, participating in one or more of the following technology developments: 1. VLM (Vision-Language Model) navigation and LBM (Large Behavior Model) integration. 2. End-to-end vision-based 3D environmental perception. 3. Real-time image tracking and terrain analysis. 4. Multi-robot collaboration, formation control, and swarm intelligence. 5. Validation using the Omniverse simulation platform. 6. Integration and development of physical robots and robotic dogs.

1. Research and development of multi-modal perception fusion algorithm software. 2. Machine learning/machine vision, and AI/GAI/Agentic AI algorithm research and development.

1.Development of machine vision correction algorithm 2.2D/3D optical detection algorithm development 3.Development of SLAM image computing algorithm 4.GAI/AI model development 5. Machine vision system integration

本實習以「系統效能觀察、問題分析與驗證」為主軸，協助團隊在自動駕駛/機器人系統情境下，於Linux與ROS 2環境建立可重現的測試流程並整理量測結果，支援日常工程驗證與效能問題釐清。 1. 協助執行效能量測與結果整理，彙整常用指標（如 latency、jitter、deadline相關現象）。 2. 協助從現象、log 與系統資源狀態整理線索，提出可驗證的假設與檢查方向。 3. 協助建立可重現的測試/驗證流程：步驟整理、環境檢查、設定與結果記錄，使結果可重現、可比較。 4. 協助ROS 2環境的整合測試與功能驗證，整理重現步驟與回報資訊。 5. 協助整理文件（README/SOP/簡易 troubleshooting），讓他人可依文件完成操作與驗證。

We are looking for a skilled AI and Language Model Engineer to join our team at the Industrial Technology Research Institute‘s Biomedical Data and Artificial Intelligence Technology Division. In this role, you will be responsible for researching and applying AI and large language models to support intelligent healthcare and new drug development. You will also design and develop these models to address challenges in healthcare data analysis and natural language processing. Collaborating with relevant teams, you will integrate these models into intelligent healthcare and new drug development fields, enhancing the efficiency and accuracy of healthcare professionals‘ work. Furthermore, you will be responsible for keeping up-to-date with domestic and international AI and language model technology trends, enhancing the team‘s technological innovation and application capabilities. Responsibilities: 1. Research and apply AI and large language models to support intelligent healthcare and new drug development. 2. Design and develop AI and large language models to address challenges in healthcare data analysis and natural language processing. 3. Collaborate with relevant teams to integrate AI and large language models into intelligent healthcare and new drug development fields, enhancing the efficiency and accuracy of healthcare professionals‘ work. 4. Keep up-to-date with domestic and international AI and language model technology trends, enhancing the team‘s technological innovation and application capabilities. Requirements: 1. Master‘s degree in Computer Science, Artificial Intelligence, or a related field. 2. Proficient in programming languages such as Python, R, and C++. 3. Strong background in deep learning, natural language processing, and machine learning. 4. Experience with designing and developing AI and large language models. 5. Excellent problem-solving skills and the ability to work independently and in a team environment. If you are passionate about AI and language models and want to make a significant contribution to the development of intelligent healthcare and new drug development, we encourage you to apply for this exciting opportunity.