Cari Lowongan

【職務說明 What will you do】1. 生成式AI、機器學習、深度學習或統計分析模型專案開發。2. 配合數據技術發展目標，研究與實作可落地應用之新型態數據模型技術，包含大語言模型(LLM)、機器學習(ML)、深度學習(DL)等。3. 推動業務場景AI賦能，建立GenAI技術輔助各類型銀行需求使用，包含RAG架構流程、向量知識庫取用、Prompt Eng.設計等。4. 協助數據轉型，規劃從需求痛點到落地應用之end-to-end的數據解決方案。5. 當負責之數據服務被設定為"不能中斷"之服務等級，則需配合維運團隊於非上班時段on call以便即時處理問題，確保服務穩定。

【你的任務：訓練機器人的虛擬大腦】 你將負責機器人控制最前沿的領域：Deep Reinforcement Learning (DRL)。 你的工作場域不在工廠，而在物理模擬器 (Physics Simulator) 中。你需要設計獎勵函數 (Reward Function)，讓機器人在虛擬世界中學會對抗地心引力、適應崎嶇地形，並成功將這套「大腦」移植到真實的機器人身上。 【工作內容 (Responsibilities)】 強化學習演算法開發：設計並訓練基於學習的運動控制策略 (Learning-based Locomotion Policy)，使用 PPO (Proximal Policy Optimization) 或 SAC 等演算法，讓機器人自主學會平衡與移動。物理模擬環境建置：熟練操作高效能物理引擎（如 NVIDIA Isaac Gym, MuJoCo, Bullet），搭建多樣化的地形與動態干擾場景，進行大規模並行訓練 (Massively Parallel Training)。Sim-to-Real 遷移技術：解決「模擬」與「現實」的鴻溝 (Reality Gap)。運用 Domain Randomization (域隨機化) 與 System Identification 技術，確保虛擬訓練的策略能強健地運行在真實硬體上。整合與優化：將訓練好的神經網路模型 (Inference Model) 部署至邊緣運算裝置 (Jetson/Orin)，並與底層控制迴路 (Low-level Control) 進行整合。

【Application Channel】Please apply via:https://grnh.se/3c91d3fe3us【 About the company 】Tomofun是一間國際化的寵物科技新創公司，我們熱愛毛孩和科技，致力於帶給全世界寵物飼主源源不絕的歡樂與創新！在全球寵物科技業中，Tomofun 是第一家實踐AIoT於產品-Furbo 狗狗攝影機的台灣新創。Furbo結合AI、深度學習及雲端大數據，能辨識並分析狗狗行為，讓狗爸媽即使不在家也能隨時隨地瞭解寵物狀態、與寵物互動。2016年Furbo甫進入市場，至今全球已有數十萬使用者、遍布133國，位居歐美亞15國Amazon寵物類別銷售冠軍。2019年推出「Furbo狗保姆」訂閱制AI服務，是已經成功落地的AI產品，讓主人隨時知道狗狗動態、目前已成功拯救數百隻狗狗於危險之中！立足台灣的Tomofun，至今每年都有超過200%的驚人成長！延攬多國菁英，組織扁平、資訊透明的環境，讓每位Tomofuner都是產品的重要推手。想加入AIoT智慧時代、不畏挑戰、夢想用能力改變世界的你，Tomofun是屬於你的舞台！【 What you'll do 】・協助每月財務報表結算流程，包含訂單對帳、費用登帳、進銷項稅額處理等・遵守會計法規要求，保障內部控制，包含協助處理扣繳稅款申報等・優化財務日常程序，打造充滿效率的工作流程・參與支援多樣化專案，例如物流部門作業需求、參與提升財務報告自動化等項目【 Perks 】 能於台灣總部與國際化團隊合作，發揮影響力讓世界都看見！和對科技創新充滿熱情的各領域好手一同合作，相處融洽，彼此腦力激盪，創意無限，一起為毛孩家庭努力！任何人都能自由發表自己的想法，享有充滿信任及資訊透明的扁平化組織。每一季舉辦 all-hands meetings，讓全公司成員都能得到關於公司目標、決策的最新資訊，並且開放大家互相交流給予回饋或提問。在Tomofun每天都可以帶你的寵物來上班，讓你們時時刻刻都在一起，毛小孩們永遠不寂寞。Tomofun長久以來專注社會公益議題，公司不定期有志工日和服務計畫，歡迎在工作之餘，也可以與我們一同讓世界更好。各種豐富的社團活動，與志同道合的Tomofuners一起培養多元興趣、促進彼此交流。永遠都滿到不行的零食櫃，冰箱飲料、點心無限量供應！舒適又具創意的工作環境，像家一樣溫馨自在。每兩週皆有下午茶日與每月慶生會，各種台北知名下午茶甜點免排隊送到你桌上！ 【 Benefits 】 彈性上下班制度，你可以依照自己的作息彈性調配。每月專業醫療健康諮詢服務，不只照顧你的頭腦也照顧你的身體。每位員工都是Tomofun的珍貴資產，各個面向的內部工作坊及外部訓練補助，讓你在各階段都能與我們一同成長。

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

1.實作監督式/非監督式 AI 模型2.開發影像視覺 AI 應用3.開發數值異常監控 AI 演算法4.實作 AI 晶圓手臂強化式學習5.演算法/模型優化6.協助 AI 其他半導體領域應用7.部門間溝通協調1.熟悉 Python 程式語言2.具備任一深度學習框架經驗 (PyTorch、Keras, etc)3.統計分析/機器學習/深度學習 相關經驗4.獨立研究國外論文並實作 SOTA AI 模型5.具備調校模型能力6.團隊協作技能，熟 git 版本控制7.具有分析解決問題以及溝通能力8.數學/資工/電腦科學相關科系佳9.熟悉 C#、ML.NET 加分10.具有機器人控制/影像辨識/生成式AI經驗加分11.具有半導體設備經驗加分

Mô tả công việcBuild and training pipelines for Generative AIImplement, optimize with state-of-the-art computer vision modelsCollaborate with teams to integrate computer vision algorithms into larger AI systems and applications.Stay up-to-date with the latest advancements in computer vision research and apply them to enhance our AI projects.Yêu cầu công việcFinal year students or fresh graduates with GPA above 3.2/4 or 8.0/10;Education: Top students from Vietnamese universityEnglish: IELTS 6.0, TOEIC 800, or Cambridge C1 (Nice to have)Experience: Fresh graduates or candidates with less than 2 years of experience.Employment Type: Full-time.Proficiency in programming languages such as Python, C++, or similar, along with experience in deep learning frameworks (e.g., PyTorch).

【投遞方式】請至https://grnh.se/eb1541533us投遞履歷，我們會優先考慮這邊收到的履歷。【 About the company 】Tomofun是一間國際化的寵物科技新創公司，我們熱愛毛孩和科技，致力於帶給全世界寵物飼主源源不絕的歡樂與創新！在全球寵物科技業中，Tomofun 是第一家實踐AIoT於產品-Furbo 狗狗攝影機的台灣新創。Furbo結合AI、深度學習及雲端大數據，能辨識並分析狗狗行為，讓狗爸媽即使不在家也能隨時隨地瞭解寵物狀態、與寵物互動。2016年Furbo甫進入市場，至今全球已有數十萬使用者、遍布133國，位居歐美亞15國Amazon寵物類別銷售冠軍。2019年推出「Furbo狗保姆」訂閱制AI服務，是已經成功落地的AI產品，讓主人隨時知道狗狗動態、目前已成功拯救數百隻狗狗於危險之中！立足台灣的Tomofun，至今每年都有超過200%的驚人成長！延攬多國菁英，組織扁平、資訊透明的環境，讓每位Tomofuner都是產品的重要推手。想加入AIoT智慧時代、不畏挑戰、夢想用能力改變世界的你，Tomofun是屬於你的舞台！ 【What you'll do 】 在這份實習中，你不會只是負責點點滑滑，你將深入軟體測試的核心，參與完整的產品生命週期針對產品功能設計縝密的測試案例 (Test Cases)執行功能測試與迴歸測試 (Regression Test)參與開發與維護自動化測試（包含 Web UI 與 Backend API） 【 Perks 】 能於台灣總部與國際化團隊合作，發揮影響力讓世界都看見！和對科技創新充滿熱情的各領域好手一同合作，相處融洽，彼此腦力激盪，創意無限，一起為毛孩家庭努力！任何人都能自由發表自己的想法，享有充滿信任及資訊透明的扁平化組織。每一季舉辦 all-hands meetings，讓全公司成員都能得到關於公司目標、決策的最新資訊，並且開放大家互相交流給予回饋或提問。在Tomofun每天都可以帶你的寵物來上班，讓你們時時刻刻都在一起，毛小孩們永遠不寂寞。Tomofun長久以來專注社會公益議題，公司不定期有志工日和服務計畫，歡迎在工作之餘，也可以與我們一同讓世界更好。各種豐富的社團活動，與志同道合的Tomofuners一起培養多元興趣、促進彼此交流。永遠都滿到不行的零食櫃，冰箱飲料、點心無限量供應！舒適又具創意的工作環境，像家一樣溫馨自在。每兩週皆有下午茶日與每月慶生會，各種台北知名下午茶甜點免排隊送到你桌上！ 【 Benefits 】 彈性上下班制度，你可以依照自己的作息彈性調配。每月專業醫療健康諮詢服務，不只照顧你的頭腦也照顧你的身體。每位員工都是Tomofun的珍貴資產，各個面向的內部工作坊及外部訓練補助，讓你在各階段都能與我們一同成長。

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience in Machine Learning, Multimodal Machine Learning, Large Language Model, Machine Learning Infrastructure. Preferred qualifications: 5 years of experience in Machine Learning, LLM and GenAI. Experience architecting and launching ML systems that operate at a massive scale. Experience with modern deep learning architectures and frameworks with an understanding of machine learning fundamentals. Ability to influence cross-functional leaders, and work effectively across different teams to drive adoption of AI-first practice with excellent collaboration and communication skills. Passionate for building excellent products. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Play Games offers cross-game identity and profile, access to titles, achievements, leaderboards, and rewards. We are 500M Monthly Active Users (MAU) products and are integrated into the biggest mobile games on Android. Play Games Services is a critical component of a renewed focus on Play as a gaming platform.Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.Responsibilities Define the gaol and technical strategy for applying Machine learning technologies especially multimodal and advanced models like LLMs to create and scale high-impact, AI-assisted in-game experiences that drive growth and engagement. Drive the end-to-end research process, from defining problems, scoping, prototyping solutions, publishing results, and partnering with product teams to ship AI-enabled features. Apply deep domain expertise to build and deploy new advances in multimodal understanding and generative AI. Build cross-Product Area collaboration with Google Deepmind (GDM) to bring model applications for our use cases. Define the infrastructure for computing and serving quality signals. Define, establish, and track key performance indicators and metrics to evaluate and iterate on the quality of our ML systems. Work collaboratively with _storiesArea Technicall Leads, Technical leads and other engineers in cross-functional teams and help align the AI evolution. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages: Python, Java, or C++. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other machine learning disciplines. Experience working as Technical Solution Architect in a cloud computing environment or a customer-facing role. Ability to communicate in English and Japanese fluently to support client relationship management in this region. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures/algorithms. Experience with building AI and machine learning solutions, Machine Learning Operation frameworks like Kubeflow, and leveraging machine learning architectures (e.g., deep learning, LSTM, etc.). Experience architecting and developing software or infrastructure for distributed systems and with machine learning technologies. Understanding of AI Models, Large Language Models, AI specialized infrastructure and AI practice. Ability to learn, understand, and work with new technologies, methodologies, and solutions in the Cloud/IT technology space. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The Google Cloud Platform Generative AI team helps customers unlock their potential with AI. As part of an entrepreneurial team in this growing business, you will help shape the future of businesses of all sizes using AI and ML. You will apply expertise in implementing and deploying Generative AI (GenAI) solutions.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers. Provide AI expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud. Support developers, creators, and enterprises to leverage Google’s Generative Language APIs so they can build their own AI products in the future. Travel to customer sites, conferences, and other related events as needed. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

We are seeking a Senior AI Research Engineer specializing in Speech to join our AI RD team. You will lead research and development of advanced speech technologies, including automatic speech recognition (ASR), speech understanding, and text-to-speech (TTS) systems. Your work will contribute to voice-enabled assistants, call-bot intelligence, and multilingual speech interfaces, directly impacting millions of MoMo users across Vietnam. You will explore cutting-edge models, adapt them to Vietnamese and low-resource settings, and develop efficient, production-ready speech systems optimized for mobile and real-time environments.Mô tả công việcResearch and develop speech recognition models (ASR) for Vietnamese and multilingual contexts, focusing on noise robustness and real-time performance.Design and train speech understanding systems for intent detection, speaker classification, and dialogue comprehension.Develop text-to-speech (TTS) pipelines with natural prosody, emotion, and style transfer for human-like synthesis.Optimize model performance for low-latency deployment on mobile and edge devices.Integrate ASR, TTS, and NLU modules into end-to-end speech assistants and call-bot systems.Collaborate with backend and product teams to integrate speech technologies into MoMo’s ecosystem (e.g., customer service, virtual assistant).Conduct literature reviews and lead experimental studies on speech processing.Yêu cầu công việcQualificationsBachelor's or Master's degree in Computer Science, Electrical Engineering, Artificial Intelligence, or related field. PhD is a plus.Proven experience in speech processing research or development, such as ASR, TTS, or spoken language understanding.Strong knowledge of deep learning for audio.Hands-on experience with frameworks like PyTorch, TensorFlow.Proficiency in Python and familiarity with signal processing libraries.Understanding of model deployment and optimization for real-time inference.Ability to read, reproduce, and extend state-of-the-art speech research papers.Nice to HaveExperience with end-to-end speech systemsExperience in Vietnamese or Southeast Asian speech datasets.Familiarity with multilingual pretraining or self-supervised learningKnowledge of speech emotion recognition, speaker diarization, or voice conversion.Experience deploying models in production environments (e.g., on mobile apps or customer service systems).