，幫助使用者更有效率地處理法律相關文件與事務。 【主要職責】 1) 負責設計與開發前後端系統，實現AI輔助的法律服務平台。 2) 前端開發（React/Vue）與後端 API 開發（Python/PHP）。 3) 開發使用者介面與互動流程，提升使

有串接 AI 模型（如 OpenAI）經驗。 3) 熟悉資料處理與 API 開發。 4) 對法律邏輯有基本敏感度或願意學習。 【加分條件】 1) 熟悉資料脫敏、合法性審查等法遵處理。 2) 熟悉 Agentic AI、AI 智能代理、n8n、

Yating(https://yating.tw/zh-hant), a Taiwan AI Labs’ company, provides a dynamic startup environment that fosters exceptional career development opportunities. We are looking for talented professionals to join us in advancing AI solutions for news and social media analysis. We’re seeking talents who are results-driven, highly organized, and possess strong leadership skills to plan, execute, and manage information analysis projects. Join our team and contribute to the exciting world of AI. 【Responsibilities】 As an NLP Engineer, you will drive the development of our large language models (LLMs) and Retrieval Augmented Generation (RAG) and integrate state-of-the-art NLP techniques into production. This role is critical to developing solutions for text generation, question answering and agent-driven task automation, supporting multimodal projects and cross-team collaboration. 1.LLM Customization: Fine-tune and customize LLMs for specific applications, improving accuracy and relevance to the domain. 2.Context-Aware Retrieval: Design context-aware dialogue systems and retrieval models and implement effective passage retrieval and reranking. 3.Agent-driven automation: Develop task-oriented LLM agents that integrate seamlessly with external tools, databases and APIs for complex workflows. 4.Pipeline development: Create and optimize pipelines for scalable model inference, data processing and continuous learning. 5.Research Implementation: Apply cutting-edge LLM and RAG research to drive innovation and contribute to a research-based production pipeline. 【Essential Qualifications】 1.Solid experience with machine learning, data mining, information retrieval and natural language processing. 2.Proficiency in C++, Python or related languages. 3.Strong ability to stay current with research advances and new technologies 4.Ability to translate research findings into scalable, efficient production workflows. 【Preferred qualifications】 1.Experience in training multimodal LLMs. 2.Familiarity with frameworks for model inference and optimization. 3.Experience with Docker and Kubernetes for containerization and orchestration. 4.Experience in backend development, including database integration, frameworks and building LLM applications using tools such as Langchain or Llamaindex.

Unsupervised Learning、K means比較。 6. 熟悉資料處理比重調整、跑過模型預訓練、TOKEN 性質調整、STREAMIN、DUMMY、QUANTIZATION、CONTEXT WINDOW、調整LLM SERVING、向量相識度搜尋、

【About the Role】 Our team is dedicated to transforming cutting-edge AI research into impactful business solutions. We specialize in developing state-of-the-art NLP technologies and Large Language Models (LLM) tailored specifically to solve real-world business problems. 【Key Responsibilities】 - Conduct applied research and surveys to discover and explore novel NLP methodologies. - Perform comprehensive experiments, critically analyze results, and iteratively improve NLP models based on practical insights. - Design, develop, and implement effective NLP solutions, encapsulating models into APIs for use in internal and external projects. - Collaborate closely with business units and clients to ensure solutions precisely align with actual business needs and goals. - Optimize and deploy machine learning models on various local and cloud-based platforms, considering diverse hardware environments. 【Projects You May Work On】 - Large Language Models (LLM) # Fine-tune language models for different business domains utilizing Parameter-Efficient Fine-Tuning (PeFT) and Reinforcement Learning strategies to enhance performance and alignment with business objectives. - Retrieval-Augmented Generation (RAG) # Develop and enhance pipelines to ensure precise, contextually relevant information retrieval. # Build embedding and reranker models to support robust retrieval and ranking processes. - Additional NLP Tasks # Named Entity Recognition (NER) # Knowledge Graph Development # Text Summarization # Document Classification # Chinese Spelling Error Correction 【Why Join Us?】 We cultivate a dynamic culture focused on innovation, practical application, and continuous professional growth. As part of our team, you will have the opportunity to attend industry conferences, engage with vibrant technical communities, and contribute directly to impactful AI-driven solutions. If you are passionate about advancing NLP technologies and excited to see your innovations make meaningful impacts in real-world scenarios, we warmly invite you to join our team!

1. 協助大型語言模型針對特定場域應用之微調優化 2. 進行理論技術之研究，研究項目包含和文字及語言議題有關的所有生成式AI之技術、應用、工具與框架 3. 編寫相關的開發文件 4. 建置演算模組通用函式庫 5. 依客戶需求，評估並提供可行的文字應

實務場景的可行性 5. 最佳化模型效能並部署於雲端平台，確保推論穩定與高準確度 工作經驗及專業能力： 具自然語言處理技術與相關專案開發經驗等等相關工作經驗2年以上佳。 【必要需求】 1. 具備語言處理或相關領域相關經驗，並有豐富的 NLP 專案經

1. 模型開發和微調 a. 設計、訓練並微調LLM，處理法規中的特定任務，包括毒理數據提取、分析及報告生成。 b. 使用多模態數據，整合1D（SMILES）、2D和3D化學結構信息到LLM流程中。 2. 數據整合與整理 a. 與領域專家協

我們是一家專注於生成式 AI 與法律科技結合的創新公司，旗下產品如「律果簽」、「法樂多」與 CLM 合約管理平台，已成功導入金融、生技、媒體、科技等產業。我們正積極投入大型語言模型（LLM）與自然語言處理（NLP）在法律應用上的研發，打造智慧化的

【您的工作內容將會是】 ◆職務說明 負責企業內部AI技術的推動與應用，確保AI技術能夠有效地賦能員工、減少人力支出、縮減成本並提高企業價值。此職位需要具備豐富的AI技術和資訊系統建設經驗，並能夠帶領企業找到共用AI解決的痛點。 ◆主要職責 ①AI技術推動：理解AI技術在企業內部的應用，確保AI技術能夠有效地解決企業痛點。 ②系統建設：設計並建設企業內部的資訊系統，確保系統能夠高效運行並支持內部需求。 ③員工賦能：利用AI技術賦能員工，提高工作效率並減少人力支出。 ④成本縮減與價值提升：通過AI技術和資訊系統的應用，有效縮減成本並提高企業價值。 ⑤產品開發：在內部系統運用良好的情況下，將其作為產品進行銷售，創造新收入來源。 ◆任職要求 教育背景：具備相關領域的學士學位，碩士學位優先。 工作經驗：至少五年AI技術和資訊系統建設經驗，有成功案例者優先。 技能要求：優秀的AI技術應用能力、資訊系統設計與建設能力、溝通能力和協調能力。 個人特質：具備高度的責任心和主動性，能夠在壓力下工作，並具備解決問題的能力。 薪資待遇： 根據經驗和能力，提供具有競爭力的薪資和福利。 ◆關於人選 ①負責任且具工作熱情，重視團隊合作 ②積極正面、樂於嘗試新事物，能獨立作業 ③不怕生、積極主動喜歡與人溝通 ④思考條理清晰、邏輯性佳 ⑤ 創意發想，創造不同的商業合作與創意提案 【逗點教室】 提供良好的工作環境好及相對應的薪酬，團隊夥伴及主管親切，十分歡迎同樣具有熱血教育理念無相關經驗的你們，只要抱持著愛與善的心，我們樂意帶領著彼此共同成長。 最友善團隊一起工作、一起享受生活 完整培訓闖關計畫、明確的職涯目標 上班環境各有特色：博物館、文青簡約、食農教育、烏龜陪伴等 逗點官網｜https://www.comma.study 逗點IG｜https://instagram.com/comma_class

1. 協助大型語言模型針對特定場域應用之微調優化 2. 進行理論技術之研究，研究項目包含和文字及語言議題有關的所有生成式AI之技術、應用、工具與框架 3. 編寫相關的開發文件 4. 建置演算模組通用函式庫 5. 依客戶需求，評估並提供可行的文字應

1. 模型開發和微調 a. 設計、訓練並微調LLM，處理法規中的特定任務，包括毒理數據提取、分析及報告生成。 b. 使用多模態數據，整合1D（SMILES）、2D和3D化學結構信息到LLM流程中。 2. 數據整合與整理 a. 與領域專家協

，為社會開創AI數位時代的新契機！ 萬古流芳 青史留名 #遠端工作#語音模型設置#文字模型設置#科技#AI#人工智能#人工智慧#機器學習#深度學習#自然語言處理#NLP#電腦視覺#數據科學#大數據#雲端運算#區塊鏈#物聯網#IoT#5G#數位轉

1.LLM 語言模型調教、佈署與應用設計 2.資料探勘應用 3.RAG與知識庫應用 4.設計並執行 prompt engineering 5.開發AMR AI 自動化系統 6.整合不同邊緣設備可執行的小模型（例TTS/STT） 7.主管交辦事項

We seek an experienced Data Engineer to join our innovative drug discovery team. The candidate will build tens of thousands of chemical and experimental data into a data pool. Will support the design and preparation of datasets and databases, including data collection, cleaning, normalization, and export. Additionally, you will create an automated data update pipeline and develop visualization tools. As a team member, you will work with cross-functional teams to integrate AI technologies into our drug discovery processes and mentor engineers to provide technical guidance and support. What You'll Do : o Build large-scale drug and experiment-related databases, extract, transform, clean, normalize, and integrate data from different databases. o Support the team leader in creating training datasets for model development. o Collaborate with other teams to develop database visualization tools and create related APIs for AI engineers. o Perform statistical analysis of outliers and clustering using a background in medicinal chemistry o Establish the pipelines of automated data updates. Minimum Qualifications : o Must have a background in biology or chemistry. o Proficiency in Python o Experience in handling and organizing related databases such as Chembl/PubChem, etc. o Experience using FastAPI or other RESTful APIs. o Experience building PyTorch datasets/dataloaders o Familiarity with various chemical notations and the ability to understand different biochemical experiment theories and methods o Experience with multithreading and handling data on a billion-scale. o Have a strong ability of problem-solving and ability to collaborate and work as part of a team Nice To Have : o Experience handling different types of drug data(Small molecular, Antibody …). o Familiarity with 3D structural data o Experience building DL/RL-related models or algorithms o Good debugging and performance profiling skills for Python

RAG / Multi-agent / Hybrid QA） 決定 NLP 任務與模組該怎麼搭建、訓練與優化 評估法律資料處理 pipeline 包括前處理、分析、標註與測試框架設計 2、串連團隊、推動產品落地 與產品、後端、UX、法務顧問協作

We seek an experienced Senior Data Scientist to join our innovative drug discovery team. The successful candidate will be responsible for developing advanced algorithms for antibody, small molecule, and nucleotide drugs using deep learning and reinforcement learning techniques. You will lead the design and preparation of datasets and databases, including 3D protein generation, and apply computational approaches such as AI-driven Drug Design (AIDD) and force field simulation. Additionally, you will enhance the performance of the deep learning model using edge computing. As a senior team member, you will collaborate with cross-functional teams to integrate AI technologies into our drug discovery processes and mentor junior data scientists, providing technical guidance and support. What You'll Do: • Develop the algorithms for structure-based drug generation • Take advantage of different algorithms/model architectures (diffusion-based, language-based, etc.) to suit the diverse purposes in drug development. • Support the integration of drug-related databases (e.g. PDB, ChEMBL, etc.) and establishment of the training-ready datasets, including pre-processing of data characterization and featurization for experimental and other data. Minimum Qualifications: • Proficiency in Python • 3+ years in solving biological/clinical problems with DL & RL • 1+ year in protein structure problem-solving with DL • 1+ year developing DL/RL algorithms • Strong understanding of statistics and probability • Familiarity with machine learning, deep learning, and PyTorch • Experience with version control (e.g., Git) • Proficient in software development and writing production-quality code Nice to Have: • Knowledge of SE(3) equivariant algorithms and 3D rotation • Experience in off-line policy Deep RL (e.g., SAC, TD3) • Familiarity with Linux OS and HPC • Debugging and performance profiling skills for Python/C++ • Strong biochemistry background • Experience in protein/nucleotide feature encoding

1. 協助標註簡體中文語言資料 2. 處理並修復簡體中文文法錯誤 3. 評估、更新和分享簡體中文語言資料標註準則 4. 監控資料的取得和整理 5. 與客戶一起開發和審查數據 6. 評估和審查自然語言資料 7. 創建和評估自然語言模型 8. 創建和

語言就是品牌的靈魂」。你將在品牌團隊中實戰學習，深入了解如何結合創意思維與生成式AI，創造具一致性與高品質的品牌語言內容。 ✧ 這不只是內容實習，而是一場語言與科技的精彩共舞！如果你熱愛文字、對語感敏銳，又對AI應用充滿好奇心，這將是你的最佳舞台！

1. 開發與維護 AI Agents 的基礎架構，確保系統的模組化與可擴展性。 2. 與法律、醫學、金融等各領域的客戶進行有效溝通，了解他們的需求並提供通用其可擴展的AI解決方案。 3. 建構與優化 AI Agents 的 API，確保與內部及第三方系統的無縫整合。 4. 與前端工程師合作，將 AI Agent 解決方案嵌入現有 SaaS 平台。 5. 設計 AI Agents 的行為框架，包含規則驅動（Rule-based）及 LLM 互動機制。 6. 參與技術決策與架構討論，並與團隊成員協作。

國內最大化妝品使用心得及排行榜綜合網站@cosme Taiwan(前身UrCosme,2004年創建)在台營運20年，為國內消費者找尋化妝品使用心得及排行榜綜合資訊的主流網站，隸屬於日本上市公司集團istyle Inc.。除日本、台灣外，在香港、大陸、韓國、美國等地，亦有集團旗下化妝品社群/電商/零售等相關事業營運。 網路產業隨著科技的不停進步，許多新技術不斷創新，加上AI重塑了工程師的日常工作樣貌，利用AI協作，大幅提高工作效率，而「整合應用」則成為了新一代工程師的必備能力，學習各式工具並透過排列組合，優化/解決當前遇到的各式問題。 為維運@cosme TW、@cosme HK及整體Global平台系統，技術研發主要分成三部分： 1.Ruby in Rails網站相關技術：利用ROR、HTML、JS、CSS持續開發網站功能。 2.大數據相關技術：利用MongoDB自行開發Data Management Platform，並應用於數據分析、廣告投放、個人化推薦、OneID辨識等地方。 3.AI相關技術：導入LLM應用於@cosme平台，啟動AI賦能，將現行服務+AI。 技術部門是小型團隊(5人以下)，透過靈活賦予任務，接觸各種技術，提升技術也提升問題解決能力，期待你具備獨立網站開發能力，有學過上述三部分技術尤佳，希望找到有活力、邏輯清晰、思考靈活的你加入，一起共創價值。

【需求概述】 1.設計、開發和優化AI模型 2.建立數據管道並部署模型 3.與後端工程師和利益相關者合作 4.跟進AI領域的最新發展，例如大型語言模型（LLM） 【必備條件】 1.計算機科學、人工智能或相關領域的碩士或博士學位 2.在自然語言處理