「機器學習主任工程師 Principal Engineer-E110708」的相似工作

1. 負責自動化設備控制軟體之開發與維護，依據系統需求設計控制邏輯與功能模組 2. 規劃整體程式架構，導入模組化設計，提升軟體可擴展性、可重用性與維護效率 3. 使用 C、C++ 及 LabVIEW 開發運動控制、座標轉換、感測器整合與人機介面等功能 4. 統整並導入團隊 coding 標準，確保程式品質與開發一致性 5. 具備跨部門協作能力，與機構、電控、系統等單位共同完成設備功能整合 6. 撰寫與維護相關技術文件、測試報告及操作手冊 7. 具技術領導與專案管理經驗者，將參與系統架構決策、團隊管理與專案推動 8.能有效掌握團隊成員程式實作深度，並提供技術指導與產出監督，確保專案成果品質

RJob description： 1.System Integration Development o Interface with LLM development teams to integrate SDKs into in-vehicle systems o Develop voice interaction middleware for coordinating ASR (Automatic Speech Recognition), NLU (Natural Language Understanding), and TTS (Text-to-Speech) pipelines o Design hybrid solution to integrate cloud LLM and edge LLM, take care of the arbitration between cloud and edge 2.Performance Optimization o Optimize end-to-end response latency o CPU and memory footprint control and cold-start acceleration Requirement： • Working experience: 3 years and above • Proficient in C++11/14 embedded development • Hands-on project experience with Linux/Android Automotive OS • Understanding of LLM, Agent, RAG and corresponding inference framework/runtime • Familiar with Inter-Thread Communication and Inter-Process Communication

工作內容： 1. 將AI ISP 影像處理模型部署至車用控制器平台（如 Qualcomm、NVIDIA、黑芝麻、MTK及各家NPU 等），確保AI模型在各類平台穩定運行。 2. 依據產品需求，評估模型在 GPU、CPU、NPU 等運算單元上的算力需求與資源佔用，進行性能分析與優化。 3. 與 AI ISP 演算法開發人員合作，完成模型移植、壓縮、加速與平台適配。 4. 針對不同平台環境進行測試與調優，確保模型滿足車用場景的即時性、穩定性與可靠性要求。 5. 參與車載系統軟硬體整合，協助解決模型部署過程中的技術問題。 6. 持續關注車用 AI SoC、NPU 與 ISP 平台的最新技術動態，熟悉各家平台與NPU使用方式，並提出相關改善與升級建議。 技能描述： 1. 資訊工程、電機電子工程、光電工程、影像處理等相關專業碩士及以上學歷。 2. 5年以上AI 模型開發或平台部署經驗。 3. 熟悉深度學習模型部署流程，具備 TensorRT、ONNX Runtime、TVM 或類似工具的經驗。 4. 具備 C/C++、Python 程式開發能力，了解嵌入式 Linux 環境。 Responsibilities: 1. Deploy AI ISP models onto automotive computing platforms (e.g., Qualcomm, NVIDIA, Black Sesame, MTK and NPU-based platforms), ensuring stable runtime performance. 2. Evaluate computational requirements and system resource usage (GPU, CPU, NPU, etc.) based on product needs, and perform resource consumption and performance optimization. 3. Collaborate with AI ISP algorithm developers to handle model porting, compression, acceleration, and platform adaptation. 4. Conduct testing and fine-tuning across different automotive platforms to guarantee real-time, stability, and reliability standards. 5. Support software-hardware integration for automotive systems and troubleshoot deployment-related technical issues. 6. Stay updated with the latest automotive AI SoC, NPU, and ISP platform technologies, providing insights for improvements and upgrades. Skills Qualification and Experience: 1. Master's degree or above in Computer Science, Electrical/Electronic Engineering, Optoelectronics, Image Processing, or related fields. 2. Minimum of 5 years of experience in AI model development or platform deployment. 3. Familiar with deep learning model deployment workflows, with hands-on experience in tools such as TensorRT, ONNX Runtime, TVM, or similar frameworks. 4. 4Proficient in C/C++ and Python programming, with a solid understanding of embedded Linux environments.

【工作內容】 1. Architect, design, and develop AI agentic systems 【需求條件】 1.Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field. 2.Experience with RAG/MCP and backend code-generation 【加分條件】 1.Strong understanding of software data structures, algorithms, and proficiency in object oriented coding, preferably in C or C++. Exposure to AI/ML models, accelerators is a plus. 2.Familiarity with PyTorch, Tensorflow, ML models 3.Fluency in English 【工作地點】:台北/南投/WFH

【職責與任務】 1. 參與AI助理系統（Venus）的功能開發與優化，協助提升公司AI化能力。 2. 使用Python或Node.js開發小型應用，支持AI系統運作或內部業務數位化需求。 3. 協助設計並執行自動化解決方案，應用工具如Power Automate、Power Apps 等，推動內部流程自動化。 4. 分析和清理業務數據，提供結構化資料支持AI模型或工具的運行。 5. 與業務部門合作，理解需求並轉化為技術解決方案，探索AI與自動化應用場景。 6. 協助進行AI模型的測試與部署，支持模型整合與持續運維。 7. 配合團隊進行業務流程改進，利用AI技術提升效率與創新。 我們希望您具備以下條件 【必備條件】 1. AI相關開發或專案經驗： ‧ 曾參與AI系統或自動化解決方案的開發，或有相關項目經歷。 ‧ 熟悉Python或Node.js，具備撰寫應用腳本或開發小型工具的能力。 2. 基礎數據處理能力： ‧ 能處理結構化或非結構化數據，進行數據清洗、篩選與分析。 3. 學歷與經驗： ‧ 至少3~5年相關工作經驗，資訊科技、AI應用或數據處理相關背景為佳。 ‧ 良好的學習能力與適應能力，願意接受新技術挑戰。 【加分條件】 1. AI相關專業能力： ‧ 具備模型微調（Fine-tuning）或小型機器學習模型訓練經驗。 ‧ 熟悉NLP技術（如文本分類、關鍵詞抽取、情感分析）或影像處理技術。 ‧ 熟悉深度學習框架（TensorFlow、PyTorch、Keras）。 ‧ 曾應用AI於特定場景（如預測分析、智能自動化報告）。 2. 後端開發相關專業能力： 資料清洗與整合： ‧ 熟悉數據清洗與特徵工程，能整合多來源數據。 ‧ 熟悉ETL流程，具備處理大規模數據的經驗。 資料庫與API設計： ‧ 熟悉SQL（如MySQL、PostgreSQL）或NoSQL（如MongoDB、Redis）。 ‧ 能設計RESTful API，或有API串接經驗。 雲端技術與部署： ‧ 熟悉雲平台（AWS、Azure）和服務部署流程。 ‧ 具備容器化技術（如Docker、Kubernetes）的使用經驗。 3. 工具經驗： ‧ 使用過Power Automate、UiPath 或 Zapier 等RPA工具，了解流程自動化的設計與執行。 ‧ 熟悉Tableau 或 Power BI等數據可視化工具，能製作報表與儀表板。 【在這裡我們提供】 1. 學習與成長機會：參與AI應用與自動化項目，探索AI技術在企業內部的創新應用。 2. 專業培訓資源：支援技術能力提升，包括AI開發、數據處理和RPA工具的使用。 3. 穩定的發展環境：與跨部門專業人士合作，挑戰技術與業務問題。 4. 具吸引力的薪酬福利：提供績效獎金及其他激勵計劃。

1. 協助雲端架構師規劃專案(PoC或正式案件) 2. 執行專案，必要時須支援擔任溝通與執行窗口 3. 專案執行所需之技術研究及支援 4. 協助執行原廠資格認證相關事宜(例如：MSP稽核、ISO稽核) 5. 其他主管交辦事項

CerenceAI China RD is seeking a Research Engineer to design and implement the next-generation text-to-speech systems and applications. In this role, with members in globe, you will work both frontend (Grapheme-to-phoneme, Text Normalization, phrasing and prosodic control, etc) and backend (acoustic modeling, neural vocoding) components of engine pipelines and end-2-end system for major languages and dialects. Your work will directly impact CerenceAI products ranging from voice assistants to accessibility tools, delivering natural, expressive, and multilingual speech synthesis. Job Description Representative responsibilities/duties will include but not limited to: • Design and optimize text/NLP preprocessing pipelines with Deep Learning or Machine Learning methods, including Grapheme-to-phoneme (G2P) conversion for multilingual support; Text normalization; polyphone disambiguation; Prosody prediction and control • Integrate language models (e.g., BERT, GPT variants) to improve contextual and semantic understanding for natural intonation • Develop rule-based and neural solutions for emotion/style control in synthesized speech • Build state-of-the-art acoustic models (e.g., Tacotron, FastSpeech, VITS) to map linguistic features to spectrograms or waveform parameters. • Optimize neural vocoders (e.g., WaveNet, HiFi-GAN, MelGAN, LPCNet) for high-fidelity, real-time speech synthesis • Optimize inference latencies for both edge devices and cloud platforms • Enhance robustness through noise suppression, speaker adaptation, and multilingual/cross-language/cross -gender voice cloning Knowledge, skills, and qualifications Education: Master in CS, AI, EE, Math, or related field. Required/preferred skills: • hands-on experience in speech generative system development with deep expertise in both frontend and backend components • Proficiency in C/C++ and Python, with mastery of ML frameworks (PyTorch, TensorFlow, etc) • Some background in NLP techniques and/or speech signal processing is welcome • Knowledge on transformer-based language models for prosody prediction • Basic understanding of autoregressive / non-autoregressive acoustic models and neural vocoders • Experience in optimizing models via quantization, pruning, or knowledge distillation • Experience with ONNX Runtime, TensorRT, or TorchScript, etc • Experience with zero-shot/one-shot/few-shot voice cloning or emotional TTS systems • Skilled GPU/TPU cluster and grid user • Fluent English is a must-have

1. Maintain, retrain & develop AI engine 2. Generative Data Augmentation/Few-shot Learning for LPR 3. Model deployment to Edge device/IPC

主要工作內容 設計數值架構： 根據專案的整體定位和需求，設計遊戲中的經濟循環體系、角色成長體系、關卡難度曲線等。 平衡遊戲數值： 調整角色能力、裝備屬性、技能效果等，以確保遊戲的平衡性、公平性及可玩性。 撰寫企劃文件： 編寫詳細的數值企劃書，闡述遊戲規則、系統設定和調整邏輯。 跨部門溝通： 與製作人、營運團隊、美術、程式設計師等密切合作，確保數值設計能有效實施，並根據測試結果進行調整。 遊戲測試與調整： 參與遊戲測試，監控數值表現，並根據數據分析和玩家回饋，對數值系統進行持續的優化與修改。 必要條件 遊戲知識：: 熟悉線上、網頁或手機遊戲，了解市場與社群生態。 邏輯思考與溝通：: 具備良好的邏輯思考能力和溝通協調能力。 數據分析能力：: 能夠透過數據分析來評估遊戲的數值表現並進行調整。 相關經驗：: 具備一年以上遊戲企劃或數值設計相關經驗較佳。 測試經驗：: 具備遊戲測試和除錯經驗亦佳。

1. Actively clean, process, and validate Data streams for ML model consumption. Contribute to the implementation of MLOps best practices (CI/CD) and risk mitigation strategies as guided by the engineering team. 2. Actively develop and implement Python scripts and small utilities for model features and basic algorithm testing. Ensure development practices align with model fairness and ethical guidelines. 3. Establish and track technical Key Performance Indicators (KPIs) to measure model effectiveness post-deployment. Document and report potential technical risks identified during implementation. 4. Create and maintain a single source of truth for all active Carrier/vendor technical requirements and specifications. Support the definition of project scope, timelines, and milestones. 5. Act as the central liaison between Engineers, Data Scientists, and Business stakeholders. Translate incoming high-level partner requests into clear, detailed, and actionable engineering specifications and tickets. 6. Provide regular, concise updates for stakeholders on project progress, key metrics, and any blockers. 7. Annual salary: 1000K NTD and above 8. Onsite Google Banqiao Office

【工作內容】 1. 熟悉 pytorch , tensorflow , ONNX , OpenCV等開發框架 2. 熟悉 AI 視覺辨識演算法 / 模型等訓練與操作 (包含但不僅限於下列) 　　Object detection and tracking 　　Defect detection 　　Face recognition 　　Human Pose detection 　　Multiple Objects classification 3. 熟悉模型壓縮原理與實作 4. 熟悉驗證模型正確率 / 訓練技巧 / 優化 5. 熟悉物件導向程式開發 6. 熟悉 Docker 等容器操作 7. 熟 Linux OS 操作 【加分項目】 1. Have experiences about fine-tuning LLM / MLLM is a plus 2. Restful API framework such as FastAPI or Flask 3. Have passions to read/research on journal paper to catch-up cutting-edge tech. 4. Have MFG AI experience is a plus 【其他要求】 Interview with code review and demo, especially for the AI applications ※為增加身心障礙人才就業機會及維護身心障礙者就業權益，歡迎持身心障礙手冊朋友主動投遞。

1. Develop industry-oriented software for semiconductor manufacturing. 2. Build up an AI/ML software solution. 3. Optimize software runtime. 4. Build a software pipeline on the GPU cluster. 5. Robust model training pipelines. 6. 1+ years working in software development related to ML / AI will be better. 7. Strong written and oral communication skills. 8. Strong programming skills and ability to debug ML systems. 9. Location will be Taipei City. 10. Lasertec company competitiveness : 公司薪資半導體業界前5%強，為高速成長期公司，升遷管道暢通 。 11. 特休規定優於勞基法、健檢補助、年節獎金、穩定年度分紅調薪...等等。

維曙智能為創新AI應用開發商，具有全球市場商業化能力。公司有完整的創新孵化管線，包含從想法到技術與市場開發的完整配套流程，讓您將知識落實在各種實際場域中。如果您對以創新解決現實世界問題充滿熱忱，希望了解AI在產業的實務運作以及現實應用有興趣，這裡會是您大展身手的地方。歡迎加入我們。 我們正在尋找一位具備影像處理與深度學習專業的資深 AI / 機器學習工程師，能夠獨立主導模型開發、效能優化與落地實作。此職位需具備優秀的深度學習框架掌握能力，能夠根據資料與任務需求進行模型選擇、訓練流程設計與超參數調整，並具備 AI 產品開發的思維。 【工作內容】 領域：機器視覺 • 負責影像領域 AI 模型的研究、設計與訓練（例如：分類、分割、生成、超解析等任務） • 根據問題需求設計模型架構（CNN / Transformer / diffusion-based models）並進行效能調整 • 透過3D/2D圖學轉換進行多模態資料前處理 • 以深度學習方法, 轉換多模態資料為結構化時間序列資料, 如分類, 辨識, 與異常偵測 • 撰寫可重用模組與封裝良好的 Python 套件，提升團隊研發效率 • 與產品及前後端工程師協作，將模型部署至產品系統或 API • 持續追蹤最新論文與技術趨勢，進行技術導入與內部分享 • 協助 junior 工程師成長並共同解決技術挑戰 • 能針對市場需求提案，論述創新解決方案 維曙機器視覺產品服務請參閱: https://www.vizuro.com/corvus

訊連科技為全球首屈一指的多媒體影音及 AI 臉部辨識技術開發商，我們致力於打造能夠立足全球市場的軟體服務，強力邀請程式高手，對最新技術充滿熱誠的你加入我們！ 【工作內容】 1. 與AI團隊和後端團隊合作，打造高品質的AI應用服務 2. 開發兼具創意與互動性的相片編輯、影片剪輯、音訊處理 Web 應用 3. 針對公司現有軟體，從事雲端方案之設計與開發 4. 網站前端效果優化與效能調校 【必備技能】 1. 熟悉HTML5, CSS3, JavaScript等前端開發技術 2. 具備RWD網站開發經驗及後端配合開發經驗者 3. 熟悉網站效果優化與效能調教 4. 具備ReactJS開發經驗、AI影音處理之應用尤佳 5. 具備較強的學習能力，對新技術保持較高的熱情

CerenceAI China RD is seeking a Research Engineer to design and implement the next-generation text-to-speech systems and applications. In this role, with members in globe, you will work both frontend (Grapheme-to-phoneme, Text Normalization, phrasing and prosodic control, etc) and backend (acoustic modeling, neural vocoding) components of engine pipelines and end-2-end system for major languages and dialects. Your work will directly impact CerenceAI products ranging from voice assistants to accessibility tools, delivering natural, expressive, and multilingual speech synthesis. Job Description Representative responsibilities/duties will include but not limited to: • Design and optimize text/NLP preprocessing pipelines with Deep Learning or Machine Learning methods, including Grapheme-to-phoneme (G2P) conversion for multilingual support; Text normalization; polyphone disambiguation; Prosody prediction and control • Integrate language models (e.g., BERT, GPT variants) to improve contextual and semantic understanding for natural intonation • Develop rule-based and neural solutions for emotion/style control in synthesized speech • Build state-of-the-art acoustic models (e.g., Tacotron, FastSpeech, VITS) to map linguistic features to spectrograms or waveform parameters. • Optimize neural vocoders (e.g., WaveNet, HiFi-GAN, MelGAN, LPCNet) for high-fidelity, real-time speech synthesis • Optimize inference latencies for both edge devices and cloud platforms • Enhance robustness through noise suppression, speaker adaptation, and multilingual/cross-language/cross -gender voice cloning Knowledge, skills, and qualifications Education: Master in CS, AI, EE, Math, or related field. Required/preferred skills: • hands-on experience in speech generative system development with deep expertise in both frontend and backend components • Proficiency in C/C++ and Python, with mastery of ML frameworks (PyTorch, TensorFlow, etc) • Some background in NLP techniques and/or speech signal processing is welcome • Knowledge on transformer-based language models for prosody prediction • Basic understanding of autoregressive / non-autoregressive acoustic models and neural vocoders • Experience in optimizing models via quantization, pruning, or knowledge distillation • Experience with ONNX Runtime, TensorRT, or TorchScript, etc • Experience with zero-shot/one-shot/few-shot voice cloning or emotional TTS systems • Skilled GPU/TPU cluster and grid user • Fluent English is a must-have

Please submit your resume via the following link：https://mobagel.typeform.com/to/ojShbwVv Job Function 1. Design and execute marketing analytics projects, including customer segmentation, purchase intent. 2. Develop and deploy predictive models to solve complex business problems 3. Optimize data pipelines and ETL processes for efficiency 4. Collaborate with engineering teams to integrate data science solutions into production systems Your Impact 1. Deliver insights and predictive analytics through project-based solutions such as churn prediction, customer lifetime value modeling to enhance product and marketing performance 2. Drive data-informed decision-making across business units by designing scalable dashboards, automated reporting systems, and experimentation frameworks Qualifications 1. Bachelor’s or Master’s degree in Data Science, Computer Science, Marketing Analytics, or a related field 2. 3+ years of experience in data science and machine learning 3. Strong proficiency in Python, Pandas, NumPy, and Scikit-Learn 4. Experience with SQL and database manipulation for large-scale data analysis 5. Hands-on experience with marketing data, such as CRM, digital advertising, customer journey, or sales funnel analysis 6. Proven ability to communicate data-driven insights to both technical and non-technical stakeholders

我們是一家專注於AI工程的新創公司，正在尋找 AI 工程師，負責開發以 AI Agent 技術提升專業領域工作效率。 核心職責： ．AI Agent 開發與應用：設計並訓練 AI Agent，提升專業領域效率與準確性。 ．知識圖譜建構：整合專業領域知識，建立結構化知識圖譜，支援 AI Agent 進行推理與決策。 ．生成式 AI 應用：利用 LLM、多模態模型輔助、優化與驗證。 ．最佳化與強化學習：應用 GA(遺傳演算法)、RL(強化學習)等技術，開發與優化演算法。 ．跨領域協作：與專業領域合作，驗證 AI Agent 產出的結果，確保其符合標準與規範。 必要條件 ．熟悉機器學習、深度學習相關技術 (PyTorch / TensorFlow / JAX)。 ．具備 AI Agent 相關開發經驗，如 LLM + Tool-Use、強化學習或知識圖譜應用。 ．熟悉數值最佳化、啟發式演算法 (GA、PSO、Bayesian Optimization 等)。 ．具備 Python 開發經驗，並熟悉 AI/ML 相關框架與工程應用。 我們團隊致力於最前沿 AI Agent 技術應用，挑戰與業界專家深度合作，快速累積專業領域 AI 技術經驗。歡迎對 AI有熱情的你加入！

1.使用MATLAB、Simulink等，建置控制模型及模擬 2.應用端控制行為異常分析 3.相關設計文件及分析文件撰寫維護

Please submit your resume via the following link：https://mobagel.typeform.com/to/ojShbwVv Job Function - Design, develop, and maintain AI Agent systems with capabilities in autonomous decision-making and task execution - Implement context management, memory modules (short-term and long-term), and seamless tool/API integrations - Research and apply advanced reasoning methods, including Chain-of-Thought and multi-step planning techniques - Integrate Large Language Models (LLMs) such as GPT, Claude, LLaMA, and Gemini with agent frameworks (e.g., LangChain, AutoGen, CrewAI, LlamaIndex) - Apply local model optimization techniques, including fine-tuning, quantization, and retrieval-augmented generation (RAG) pipelines - Optimize inference performance, scalability, and cost efficiency for enterprise-scale deployments - Collaborate with product managers, system architects, and UX designers to translate technical capabilities into user-facing product features - Write and maintain technical documentation, architectural specifications, and best practice guidelines Your Impact - Extend LLM capabilities beyond text generation, enabling them to function as autonomous, action-oriented Agents - Drive innovation in reasoning, planning, and multi-agent collaboration to unlock new AI capabilities - Bridge the gap between cutting-edge AI research and real-world product implementation - Empower businesses to automate workflows, perform intelligent data analysis, and achieve operational efficiency at scale - Shape the next generation of AI-powered enterprise applications and solutions Qualifications - Bachelor’s degree in Computer Science, AI/ML, or related field; Master’s degree preferred - 3+ years of hands-on experience in AI/ML development, with exposure to LLMs and agent-based frameworks - Proficiency in Python; familiarity with TypeScript/JavaScript is a plus - Experience with agent frameworks such as LangChain, AutoGen, CrewAI, or LlamaIndex - Familiarity with LLM APIs (OpenAI, Anthropic, Google, Meta) and open-source models (LLaMA, Mistral, Falcon, Yi, Qwen, etc.) - Strong understanding of Prompt Engineering, Retrieval-Augmented Generation (RAG), and reasoning techniques (CoT/ToT) - Experience with database technologies (SQL, NoSQL, vector databases) and API integration - Strong collaboration and communication skills, with the ability to work effectively across technical and product teams Preferred Qualifications (Nice-to-Have) - Experience with MLOps/DevOps tools (Docker, Kubernetes, CI/CD pipelines) - Knowledge of distributed systems and scalable AI architectures - Contributions to open-source AI projects (e.g., LangChain, LlamaIndex, AutoGen, Hugging Face) - Experience with multimodal AI applications (speech, vision, video) - Domain expertise in industries such as SaaS, finance, retail, or e-commerce Join Us At MoBagel, you’ll work on state-of-the-art AI solutions, lead impactful projects, and be part of a dynamic and fast-paced startup environment.

*本職務提供完整的教育訓練 1.原廠及通路經銷商合作關係維護聯繫，完成產品銷售資格整備 2.協助客戶導入雲端服務，根據客戶需求擬定客製方案 3.協助推動專案之執行、問題追蹤及撰寫專案文件 4.持續學習雲端服務相關知識，運用雲端專業知識，即時回應客戶需求