公司介紹

產業類別

聯絡人

許小姐

產業描述

電腦軟體服務業

電話

02-27193015

資本額

傳真

暫不提供

員工人數

30人

地址

台北市松山區民生東路三段109號10樓


萬達人工智慧科技股份有限公司 (Wonders.ai Technology Co., Ltd.) 是台灣領先的人工智慧陪伴開發商,於2024年在ChinaJoy獲得最佳產品獎。成立於2017年,總部設在台灣,旨在探索和開發AI解決方案,並提供客製化的AI應用開發和技術服務。公司的業務範圍包括影像辨識、聲音辨識、自然語言處理、大數據分析等領域,並應用於遊戲、智慧導購、智慧城市、金融科技、醫療保健等產業。 Wonders. AI 擁有來自台灣、中國、日本和美國的全球合作夥伴,致力於為企業和消費者提供AI陪伴解決方案。公司專注於開發自有的AI模型和端到端解決方案,以滿足不同客戶的需求。我們致力於透過人工智慧技術的創新和應用,為客戶提供更智能、更高效、更安全的解決方案。 Wonders.ai Technology Co., Ltd. is a leading AI companionship developer in Taiwan, having won the Best Product Award at ChinaJoy 2024. Founded in 2017 and headquartered in Taiwan, the company focuses on exploring and developing AI solutions and providing customized AI application development and technical services. Our business scope includes image recognition, voice recognition, natural language processing, big data analysis, and is applied across various industries such as gaming, smart retail, smart cities, fintech, and healthcare. Wonders.ai has global partners in Taiwan, China, Japan, and the USA, dedicated to providing AI companionship solutions for both enterprises and consumers. The company focuses on developing its own AI models and end-to-end solutions to meet diverse customer needs. We are committed to leveraging AI technology innovations to offer smarter, more efficient, and more secure solutions.

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主要商品 / 服務項目

AI Buddy 專為溫暖 、 尋求沉浸式、引人入勝的數位媒體體驗的個人而設計的互動性生成式AI模型、引入了個性學、故事、互動小說、視覺小說、電影、遊戲與深刻的人物互動和陪伴感。 Wonder Suite: 客製化生成式AI模型的架構,語音辨識、Real-Time RAG、智慧、聲紋、落地生成式AI模型的建立與應用。 AI Buddy is an interactive generative AI model uniquely designed with warmth and empathy, offering an immersive and engaging digital media experience. It incorporates elements of personality traits, storytelling, interactive novels, visual novels, movies, games, and deep character interactions and companionship. Wonder Suite: A framework for customized generative AI models, including voice recognition, real-time retrieval-augmented generation (RAG), intelligence, voiceprint, and the development and application of deployed generative AI models. 萬達是人工智慧(AI)陪伴領域的開拓者,我們正在尋找熱衷於創造未來人工智慧與人類互動的工程師,並且具備人工智慧與機器學習技能。 我們的使命是將AI友伴無縫整合到日常生活和各行各業中,包括手機遊戲、客戶零售資訊亭,以及在旅遊、醫療保健、設計、內容創作、製造、零售和教育等領域,通過XR媒介擴展企業應用程式。我們不僅是在創造技術,更是在建立深層次的聯繫。 我們的AI友伴設計具有人類般的個性、回應能力、主動性和知識,使其有別於傳統AI。 萬達的AI服務涵蓋包括台灣、中國、日本、美國在內的精英客戶,涉及的行業橫跨遊戲、零售、製造和醫療等亞洲前20名的企業。萬達擁有最先進的資源,包括A100和H100 GPU,由30名專業人士組成的團隊提供支持。我們正在尋找那些與我們有共同願景的工作夥伴,他們將人工智慧視為伙伴,而非僅僅是工具,與我們一起將人工智慧轉變為跨媒介的合作夥伴。 Wonders.ai 是AI陪伴領域的領導者,在2024年ChinaJoy中榮獲最佳AI陪伴產品獎。我們的市場涵蓋動畫、漫畫、遊戲以及美國、日本、台灣、中國等地區。Wonders.ai 與全球夥伴合作,正在打造下一個全球性AI陪伴應用的巔峰之作。公司已經為今年年底的全球產品發佈做好準備,現正擴大團隊規模。 我們正在尋找對創新充滿熱情,並願意全身心投入的個人,與我們一起實現3D角色與人類即時互動的未來。這是一個讓你充分發揮創造力並獲得豐厚回報的絕佳機會。如果你渴望參與這項具有巨大潛力和挑戰性的工作,請立即訪問我們的網站 [www.wonders.ai/news],了解更多公司成就與案例。 1. (https://www.forbes.com/sites/rodberger/2023/02/17/new-wonderverse-pushing-boundaries-of-reality/?sh=5d4cab5c7bc4) 2. (https://gritdaily.com/wonders-ai-revolutionizing-ar-vr/) --- Wonders.ai is a pioneer in AI companionship, and we are seeking engineers who are passionate about shaping the future of human-AI interaction and possess strong skills in AI and machine learning. Our mission is to seamlessly integrate AI companions into everyday life and various industries—including mobile games, customer retail kiosks, and enterprise applications that expand across XR media in fields such as tourism, healthcare, design, content creation, manufacturing, retail, and education. We are not just creating technology; we are building connections. Our AI companions are designed with human-like personalities, responsiveness, initiative, and knowledge, setting them apart from traditional AI. Wonders.ai serves elite clients across Taiwan, China, Japan, and the United States, with industries ranging from gaming and retail to manufacturing and healthcare, including Asia's top 20 companies. We are equipped with cutting-edge resources, including A100 and H100 GPUs, supported by a team of 30 professionals. We are looking for like-minded partners who view AI not just as a tool but as a companion, to join us on this journey of transforming AI into cross-media partnerships. Wonders.ai is a leader in AI companionship, having won the Best AI Companionship Product award at 2024 ChinaJoy. Our market spans animation, comics, games, and regions including the United States, Japan, and China. Wonders.ai collaborates with global partners and is building the next global AI companionship application. The company is gearing up for a global product launch at the end of this year and is expanding its team. We are looking for individuals who are passionate about innovation and willing to fully dedicate themselves to realizing the future of real-time interaction between 3D characters and humans. This is an excellent opportunity to unleash your creativity and receive substantial rewards. If you are eager to be part of this high-potential, challenging endeavor, please visit our website [www.wonders.ai/news] to learn more about our achievements and case studies.

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福利制度

【交通便利】◆近捷運站6分鐘(中山國中站) 【薪資與福利】 ◆績效獎金 ◆年度調薪(視公司營運狀況與個人調薪而定) 【請 / 休假制度】 ◆特休假 : 配合勞基法規定 ◆週休二日 ◆依據法規到職即投保勞保、健保

工作機會

廠商排序
5/12
台北市松山區經歷不拘大學以上月薪50,000~100,000元
1. 以Unity/C#為平台,開發日文,中文及英文版MR/AR人工智慧產品。 2. 構建最先進的混合實境及擴增實境方案,例如用於Mobile AR/XR。 3. 開發及支援高品質、可靠度高的互動性應用。 4. 配合團隊提供數位資產、工作流程及研發的最佳實施架構,並能夠與不同功能團隊配合工作,確保進行的專案能夠及時完成。 5. 對於專案設計流程及工具提出建議及改善方案。 6. Unity 做 IOS/Android 開發。 +++++主動積極是我們所推崇的,我們喜歡那些能夠主動提出解決方案及改進團隊工作的成員!+++++ 1. Develop MR/AR AI products in Japanese, Chinese, and English using Unity/C# as the platform. 2. Build cutting-edge mixed reality and augmented reality solutions, such as for Mobile AR. 3. Develop and support high-quality, reliable interactive applications. 4. Collaborate with the team to provide optimal implementation structures for digital assets, workflows, and R&D, and work effectively with cross-functional teams to ensure projects are completed on time. 5. Suggest and improve project design processes and tools. 6. Use Unity for IOS/Android development. +++++Be proactive—we love people who are proactive and suggest solutions and improvements in the team's work!+++++
應徵
5/16
台北市松山區經歷不拘大學以上月薪80,000~100,000元
1、數據分析與資料處理經驗,特別是LLM數據資料和多模式基礎模型數據資料。 2、使用 Docker 的經驗。 3、使用深度學習框架,如TensorFlow和PyTorch的訓練過LLM模型的經驗。 4、針對RAG,SelfRAG,VectorDb做過數據處理與取出資料並使用在LLM模型的經驗 5、針對GraphDB的經驗做過數據處理與取出資料並使用在LLM模型的經驗 6、對於LLM數據資料有注重細節和較強的閱讀及寫作能力。 7、熟悉Python和數據工具,如Pandas,Matplotlib,Numpy。 8、廣泛的端到端機器學習渠道活動,包括框架AI問題,數據挖掘/結構化/收集/預處理/探索,模型開發/評估,模型部署/監控。 9、您將成爲一個不斷增長的AI團隊的關鍵成員,該團隊可以架構,分析,開發,原型和交付深度學習端到端系統。 10、與不同地區的不同軟體、研究和硬體團隊合作,創造新的體驗並解決關鍵問題。 11、瞭解和分析硬體和軟體架構在未來應用程序中的相互作用。 +++++積極主動!我們非常欣賞那些積極主動並能為團隊的工作提出解決方案和改進建議的人!+++++ 1. Experience in data analysis and data processing, particularly with LLM data and multimodal foundational model data. 2. Experience with Docker. 3. Experience in training LLM models with deep learning frameworks such as TensorFlow and PyTorch. 4. Experience in data processing and retrieval for LLM models using RAG, SelfRAG, and VectorDb. 5. Experience in data processing and retrieval for LLM models using GraphDB. 6. Attention to detail and strong reading and writing skills, especially with LLM data. 7. Proficiency in Python and data tools like Pandas, Matplotlib, Numpy. 8. Extensive experience in end-to-end machine learning pipeline activities, including framing AI problems, data mining/structuring/collection/preprocessing/exploration, model development/evaluation, and model deployment/monitoring. 9. You will be a key member of a growing AI team that can architect, analyze, develop, prototype, and deliver end-to-end deep learning systems. 10. Collaborate with software, research, and hardware teams across different regions to create new experiences and solve critical issues. 11. Understand and analyze the interaction between hardware and software architectures in future applications. +++++Be proactive! We love people who are proactive and suggest solutions and improvements in the team's work!
應徵
5/16
台北市松山區經歷不拘大學以上月薪70,000~120,000元
1. 開發聊天系統語音合成、開發歌聲合成系統。 2. 熟悉現在熱門資料庫、爬蟲、資料搜尋。 3. 熟悉TRANSFORMER、PROMPTING、PRETRAINING (預訓練不是微調!)、INSTRUCT TUNING。 4. 熟悉Python、Pytorch、Keras,機器學習(machine learning)的各類算法,並有實際項目使用經驗。 5. 熟悉其中一門架構Bert、Attention、Transformer、decoder ONLY、Vocoder、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、RAG資料解鎖、Self-RAG、ATTENTION 調整: PAGED ATTENTION、WINDOW ATTENTION。 +++++主動積極,提出解決方案和改進建議,我們喜歡這樣的團隊成員!+++++ 1. Develop chat system voice synthesis, and singing voice synthesis systems. 2. Familiar with popular databases, web scraping, and data searching. 3. Proficient in TRANSFORMER, PROMPTING, PRETRAINING (pretraining, not fine-tuning!), and INSTRUCT TUNING. 4. Skilled in Python, Pytorch, Keras, and various machine learning algorithms with practical project experience. 5. Proficient in one of the architectures such as Bert, Attention, Transformer, decoder ONLY, Vocoder, Unsupervised Learning, and K-means comparison. 6. Experienced in data processing weight adjustment, model pretraining, TOKEN attribute adjustment, STREAMIN, DUMMY, QUANTIZATION, CONTEXT WINDOW, LLM SERVING adjustment, vector similarity search, RAG data unlocking, Self-RAG, ATTENTION adjustments: PAGED ATTENTION, WINDOW ATTENTION. +++++Be proactive; we love people who are proactive and suggest solutions and improvements in the team's work!+++++
應徵
5/12
台北市松山區2年以上高中月薪50,000~60,000元
1. Unity3D 2. 3D流體、貼圖、材質、動畫、模型 uv 等 3D美術相關製作整體流程 3. 3D動畫遊戲的流程,並能熟練使用材質系統、粒子模組、動力學模組、動畫模組 等進行特效元素搭建及特殊功能效果實現 4. 有計算機圖形、 Shader 相關編程語言及工具、結合圖形圖像學原理、開發製作符合美術需求的Shader,並且可以實現Shader的編輯和效果提升 5. 熟悉視頻特效及剪輯相關軟體,負責宣傳視頻中的特效設計與製作 6. 熟悉Unity CG、GLSL/ HLSL、URP 、 Shader forge ' Amplify Shader 7. PBR技術和寫實風格渲染經驗 8. 熟悉遊戲引擎Lighting 燈光 9. 遊戲引擎中藝術表現、燈光烘培、還有場景的優化經驗 10. 熟悉視頻特效及剪輯相關軟體、負責宣傳視頻中的特效設計與製作 11. 風格科幻、水、 閃電、花火、煙、火、etc 特效效果
應徵
5/16
台北市松山區2年以上高中月薪50,000~65,000元
1. 3D遊戲角色動態設計與手Key動態。 2. 擅長 Maya 環境操作Key角色動作,鏡頭運鏡設計。 3. 3D角色基礎骨骼建立,Skin與綁定。 4. Mocap動作資料整理。協助操作Mocap系統動作捕捉。 5. 能理解遊戲內角色規格需求。 6. 協助角色動畫外包的品檢與寫反饋。
應徵
3/24
台北市松山區經歷不拘大學以上月薪50,000~70,000元
LLM提示工程師 (LLMPrompt & Testing Engineer) 1. 設計與優化大型語言模型(LLM)的提示工程: 專精於連鎖思維提示(Chain of Thought Prompting)、指令提示(Instruction Prompt)、摘要(Summarization)、分類(Classification)、推理(Reasoning)、內容回吐(Regurgitation)等技術,提升模型的表現與準確性。 2. 開發與執行基準測試與數據分析: 設計並比較LLM性能基準,分析多語言輸出,使用定量與定性指標評估模型行為,並針對模型性能進行改進建議。 3. 測試迭代與優化管理: 主導測試計劃的制定與執行,負責測試數據集的生成、結果分析以及多輪迭代改進,確保模型測試全流程的穩定性與效率。 4. 與資料科學家合作創建新數據: 協同資料科學家生成、標註與清理新數據集,為模型測試與提示工程提供高質量的數據基礎。 5. 多語言能力: 精通中文與英文,熟悉日文者更佳,能根據多語言特性設計提示並分析模型在不同語言環境中的表現。 6. 資料處理與版本管理: 熟悉數據清理、處理、生成、版本控制,能使用Parquet、正則表達式(Regex)等工具優化數據處理流程,並管理數據版本歷史。 7. 提示工程與深度應用: 熟悉連鎖思維提示的設計與實施,精通模型行為推理與指令提示的優化,並具備實際Instruct Tuning經驗。 8. 程式開發與工具集成: 精通Python,熟悉使用版本控制工具(Git)與數據分析框架,能將提示工程與基準測試集成到工作流中。 9. 模型行為與特性分析: 熟練處理分類、摘要生成與推理能力測試,並基於模型表現分析提出改進策略。 10. 分析與改進: 通過基準測試與數據比較,持續改進提示設計與模型性能,並根據業務需求調整提示行為。 +++++主動積極,提出解決方案和改進建議,我們喜歡這樣的團隊成員!+++++ LLM Prompt Engineer Job Description Job Title: Prompt & Testing Engineer 1. Design and optimize prompt engineering for LLMs: Expertise in Chain of Thought Prompting, Instruction Prompts, Summarization, Classification, Reasoning, and Regurgitation techniques to enhance model performance and accuracy. 2. Develop and execute benchmarks and data analysis: Design and compare LLM performance benchmarks, analyze multilingual outputs, and provide quantitative and qualitative evaluations to refine model behavior. 3. Testing iteration and optimization management: Lead test planning and execution, manage test dataset creation, result analysis, and iterative improvements to ensure stability and efficiency in the testing pipeline. 4. Collaborate with data scientists to create new datasets: Work closely with data scientists to generate, annotate, and clean new datasets, ensuring high-quality data for model testing and prompt engineering. 5. Multilingual proficiency: Fluent in Chinese and English, with Japanese as a plus, capable of designing and analyzing prompts tailored to diverse language characteristics and evaluating model performance in multilingual settings. 6. Data processing and version control: Skilled in data cleaning, processing, generation, and versioning using tools like Parquet and Regex to streamline workflows and manage data history effectively. 7. Prompt engineering applications: Proficient in designing and implementing advanced prompt strategies, including Chain of Thought and Instruction Prompts, with hands-on experience in Instruct Tuning. 8. Programming and workflow integration: Advanced Python expertise, with experience using version control tools (e.g., Git) and integrating benchmark testing and prompt workflows into seamless processes. 9. Model behavior and capability analysis: Adept at testing classification, summarization, and reasoning capabilities and leveraging insights to propose actionable strategies for performance improvement. 10. Analysis and improvement: Continuously refine prompt designs and model outputs through benchmarks and data comparisons, aligning improvements with project objectives and requirements. +++++Be proactive; we love team members who suggest solutions and bring improvements to the table!+++++
應徵
5/16
台北市松山區經歷不拘大學以上月薪60,000~80,000元
1. 處理語言數據的清洗、擴充及生成,開發和優化語言數據處理管道以支持多語言數據的預處理與增強,包括中文、英文(優先考量)和日文。 2. 熟悉 熱門資料庫、爬蟲技術以及 資料搜索與版本控制,具備使用 Git 進行數據管理和追踪的經驗。 3. 熟練掌握 正則表達式 (Regex)、Python 語言處理庫(例如 NLTK、cutlet 或 m-pinyin)以及多語言文本處理工具,擅長處理語言特定的數據清理、轉換及分析。 4. 熟悉數據增強與格式轉換,具備設計和實現大規模語言數據管道的能力,經驗包括使用 parquet 格式進行高效數據儲存與處理。 5. 具有良好的 Prompt Engineering 經驗,熟悉構建高效提示語以支持大型語言模型 (LLMs) 的運行與優化,包括 prompt 格式設計與微調。 6. 擁有扎實的數據分析能力,熟悉統計方法與語言數據特性,能通過自動化工具生成深度見解,並能結合爬取的多語言資料進行分析與評估。 7. 熟悉數據版本化與數據質量控制,能夠追踪數據的歷史變更,並確保數據處理過程的透明性與可追溯性。 8. 熟悉基礎的機器學習工作流,了解如何準備數據集以支持 LLM 的預訓練(Prompting),並對於構建向量相似性搜索與語義數據匹配有基本理解。 9. 掌握多語言數據爬取與清理的實踐經驗,能夠設計高效的抓取管道來收集和整理分佈式數據源。 +++++ 主動積極,喜歡提出解決方案和改進建議的團隊成員將特別受歡迎!我們期待與您一起解決多語言數據挑戰!+++++ 1. Process, clean, augment, and generate language data, developing and optimizing multilingual data pipelines for preprocessing and augmentation, with a focus on Chinese, English, and Japanese (preferred). 2. Familiar with popular databases, web scraping techniques, and data searching and version control, with experience using Git for data management and tracking. 3. Proficient in regex (regular expressions), Python language processing libraries (e.g., NLTK, cutlet, or m-pinyin), and multilingual text processing tools, with expertise in cleaning, transforming, and analyzing language-specific data. 4. Skilled in data augmentation and format transformation, with the ability to design and implement large-scale language data pipelines, including efficient storage and processing using parquet format. 5. Experience with Prompt Engineering, designing and fine-tuning prompts to support large language models (LLMs), including crafting effective prompt formats. 6. Strong data analysis skills, familiar with statistical methods and language data characteristics, capable of generating deep insights through automation tools and analyzing multilingual datasets. 7. Knowledgeable in data versioning and quality control, able to track data history and ensure transparency and traceability in the data processing pipeline. 8. Familiar with basic machine learning workflows and preparing datasets to support LLM pretraining (not fine-tuning), with a fundamental understanding of building vector similarity searches and semantic data matching. 9. Practical experience in multilingual data crawling and cleaning, capable of designing efficient pipelines to gather and structure distributed data sources. +++++ We value proactive team members who suggest solutions and improvements! Join us in tackling multilingual data challenges!+++++
應徵
5/16
台北市松山區經歷不拘大學以上月薪70,000~100,000元
1、開發經驗數據分析,特別是LLM和多模式基礎模型。 2、使用深度學習框架,如TensorFlow和PyTorch的經驗。 3、使用RAG,SelfRAG,VectorDb,GraphDB的經驗。 4、使用LLM優化框架的經驗,例如VLLM、 Ex-llama、 llama.cpp。 5、使用 Docker、Kubernetes 、Triton Inference Server 或 TensorRT的經驗。 6、高容量、模型服務和量化的經驗。 7、AI 模型的產品級部署經驗。 8、測試AI模型性能(質量,延遲,負載處理)的經驗。 9、AI模型優化、容器化、部署、版本控制和品質監控。 10、與不同地區的不同軟體、研究和硬體團隊合作,創造新的體驗並解決關鍵問題。 11、瞭解和分析硬體和軟體架構在未來應用程序中的相互作用。 +++++主動積極是我們最欣賞的品質,我們喜愛那些能主動提出解決方案並促進團隊工作改進的人!+++++ 1. Experience in data analysis development, especially with LLM and multimodal foundational models. 2. Experience with deep learning frameworks such as TensorFlow and PyTorch. 3. Experience with RAG, SelfRAG, VectorDb, GraphDB. 4. Experience with LLM optimization frameworks like VLLM, Ex-llama, llama.cpp. 5. Experience with Docker, Kubernetes, Triton Inference Server, or TensorRT. 6. Experience in high-capacity model serving and quantization. 7. Product-level deployment experience of AI models. 8. Experience in testing AI model performance (quality, latency, load handling). 9. Experience in AI model optimization, containerization, deployment, version control, and quality monitoring. 10. Collaborating with diverse software, research, and hardware teams across regions to create new experiences and solve critical problems. 11. Understanding and analyzing the interaction between hardware and software architectures in future applications. +++++Be proactive! We love people who are proactive and suggest solutions and improvements in the team's work!+++++
應徵
4/30
台北市松山區經歷不拘大學月薪60,000~80,000元
1. 開發沉浸式 3D 互動登陸頁面 • 使用 WebGL 和 Three.js 建立高度互動且具備 3D 動畫的網站登陸頁面。 • 整合動漫風格 AI 角色,實現即時文本與語音聊天互動。 • 調整並優化著色器 (Shaders),確保視覺效果與效能的平衡。 2. AI 即時聊天系統整合 • 使用 Socket Webserver API,與公司內部自研 AI 聊天系統進行整合。 • 通過 API 實現自定義文本到語音 (TTS) 模型,確保語音互動功能流暢穩定。 • 確保 AI 聊天與語音回應具備即時性與穩定性。 3. 後端系統整合 • 與後端團隊密切合作,連接 Node.js、Django 和 MongoDB 系統。 • 使用 Socket.IO 或其他相關工具建立即時通訊功能。 4. 未來功能擴展 • 設計並實現會員登錄與用戶管理系統,與後端團隊協作選擇適合的工具。 • 開發電子商務前台,實現應用內購買、數位內容銷售與訂閱功能。 • 整合安全的支付系統(如 Stripe、PayPal)以保證交易安全。 5. 效能優化與跨平台適配 • 確保網站在各種設備(桌面端與行動端)均能流暢運行。 • 優化網站效能,減少載入時間並提升用戶體驗,特別是對 3D 資源的處理。 6. 團隊協作與溝通 • 與設計師、後端開發人員和 AI工程師密切合作,確保專案順利進行。 • 積極參與代碼審查、技術討論和團隊會議。 +++++我們喜歡主動積極、能提出解決方案和改進建議的團隊成員!+++++ 1. Develop Immersive 3D Interactive Landing Page •Build highly interactive 3D landing pages using WebGL and Three.js with engaging animations. •Integrate an anime-style AI character for real-time text and voice chat interaction. •Adjust and optimize shaders to ensure a balance between visual quality and performance. 2. Integrate Real-Time AI Chat • Integrate the company's in-house AI chat system using Socket Webserver API. • Implement a custom text-to-speech (TTS) model through the API to ensure smooth and stable voice interaction. • Ensure real-time AI chat and voice responses are seamless and stable. 3. Backend Integration • Work closely with the backend team to connect Node.js, Django, and MongoDB systems. • Implement real-time communication functionality using Socket.IO or other related tools. 4. Future Expansion • Design and implement a member login and user management system, collaborating with the backend team to select the appropriate tools. • Develop an e-commerce frontend to support in-app purchases, digital content sales, and subscription features. • Integrate secure payment systems (such as Stripe, PayPal) to ensure safe transactions. 5.Performance Optimization • Ensure smooth performance across various devices (desktop and mobile). • Optimize website performance, reduce loading times, and enhance user experience, especially in handling 3D resources. 6. Team Collaboration •Collaborate closely with designers, backend developers, and AI engineers to ensure the project progresses smoothly. •Participate in code reviews and team discussions. +++++Be proactive, we love people who are proactive and suggest solutions and improvements in the team's work!+++++
應徵
5/07
台北市松山區經歷不拘大學月薪50,000~60,000元
1. 開發互動式登陸頁面 • 使用現代 Web 技術(HTML、CSS、JavaScript 等)建立高度互動且具備動態效果的登陸頁面。 • 確保前端設計具備響應式佈局與跨瀏覽器相容性,提高使用者體驗。 • 與設計團隊協作,持續優化視覺效果與使用者操作流程。 2. AI 即時聊天系統整合 • 使用 Socket Webserver API,與公司內部自研 AI 聊天系統進行整合。 • 通過 API 實現自定義文本到語音 (TTS) 模型,確保語音互動功能流暢穩定。 • 確保 AI 聊天與語音回應具備即時性與穩定性。 3. 後端系統整合 • 與後端團隊密切合作,連接 Node.js、Django 和 MongoDB 系統。 • 使用 Socket.IO 或其他相關工具建立即時通訊功能。 4. 未來功能擴展 • 設計並實現會員登錄與用戶管理系統,與後端團隊協作選擇適合的工具。 • 開發電子商務前台,實現應用內購買、數位內容銷售與訂閱功能。 • 整合安全的支付系統(如 Xsolla)以保證交易安全。 5. 效能優化與跨平台適配 • 確保網站在各種設備(桌面端與行動端)均能流暢運行。 • 優化網站效能,減少載入時間並提升用戶體驗。 6. 團隊協作與溝通 • 與設計師、後端開發人員和 AI 工程師密切合作,確保專案順利進行。 • 積極參與代碼審查、技術討論和團隊會議。 +++++我們喜歡主動積極、能提出解決方案和改進建議的團隊成員!+++++ ________________________________________ 1. Develop Interactive Landing Page • Utilize modern web technologies (HTML, CSS, JavaScript, etc.) to build a highly interactive landing page with dynamic elements. • Ensure responsive design and cross-browser compatibility to enhance user experience. • Collaborate with the design team to continuously optimize the visual layout and user flow. 2. Integrate Real-Time AI Chat • Integrate the company’s in-house AI chat system using Socket Webserver API. • Implement a custom text-to-speech (TTS) model through the API to ensure smooth and stable voice interaction. • Ensure real-time AI chat and voice responses are seamless and stable. 3. Backend Integration • Work closely with the backend team to connect Node.js, Django, and MongoDB systems. • Implement real-time communication functionality using Socket.IO or other related tools. 4. Future Expansion • Design and implement a member login and user management system, collaborating with the backend team to select appropriate tools. • Develop an e-commerce frontend to support in-app purchases, digital content sales, and subscription features. • Integrate secure payment systems (such as Xsolla) to ensure safe transactions. 5. Performance Optimization • Ensure smooth performance across various devices (desktop and mobile). • Optimize website performance, reduce loading times, and enhance user experience. 6. Team Collaboration • Collaborate closely with designers, backend developers, and AI engineers to ensure the project progresses smoothly. • Participate in code reviews, technical discussions, and team meetings. +++++Be proactive—we love team members who suggest solutions and improvements!+++++
應徵
5/16
台北市松山區1年以上大學月薪70,000元以上
1. 開發、維護、整合APP核心雲服務系統。 2. 參與專案流程,與其他部門合作討論,並提出解決方案及技術文件撰寫。 3. 串接Restful API WebSocket Socket 介接前端。 4. 負責 Golang API設計及功能開發。 5. 維護現有產品程式碼及除錯。 6. 其它主管交辦事項。 +++++主動積極,我們喜歡那些能主動提出解決方案並改進團隊工作的人!+++++ 1. Develop, maintain, and integrate the core cloud service system of the APP. 2. Participate in project processes, collaborate with other departments to discuss solutions, and write technical documentation. 3. Connect Restful API, WebSocket, and Socket to interface with the frontend. 4. Responsible for Golang API design and feature development. 5. Maintain existing product code and debug issues. 6. Handle other tasks assigned by the supervisor. +++++Be proactive; we love people who are proactive and suggest solutions and improvements in the team's work!+++++
應徵
5/16
台北市松山區5年以上大學以上月薪80,000~140,000元
(具有至少五年以上工作經驗,並且能夠有效管理與指導團隊成員是至關重要的) 1. 以Unity/C#為平台,開發日文、中文及英文版的MR/AR人工智慧產品。 2. 構建最先進的混合實境及擴增實境方案,例如用於Mobile AR。 3. 開發及支援高品質、可靠度高的互動性應用。 4. 配合團隊提供數位資產、工作流程及研發的最佳實施架構。 5. 對於專案設計流程及工具提出建議及改善方案。 6. 參與創意性腦力激盪討論,開發創新的AR/MR體驗。 7. 對於如何構建有效率的產品製作流程提出建議與經驗。 8. 能夠與產業當中最新趨勢同步,並可提出技術創新想法。 9. 能夠與不同功能團隊配合工作,確保進行的專案能夠及時完成。 10. 配合Unity進行IOS/Android底層開發。 +++++積極主動是我們的核心價值之一,我們喜歡那些能夠積極主動,並在團隊工作中提出解決方案和改進建議的人!+++++ (Having at least 5 years of experience, the ability to effectively manage and mentor team members is crucial.) 1. Develop MR/AR AI products in Japanese, Chinese, and English on the Unity/C# platform. 2. Build cutting-edge mixed reality and augmented reality solutions, such as for Mobile AR. 3. Develop and support high-quality, highly reliable interactive applications. 4. Collaborate with the team to provide the best implementation framework for digital assets, workflows, and R&D. 5. Suggest and implement improvements for project design processes and tools. 6. Participate in creative brainstorming sessions to develop innovative AR/MR experiences. 7. Offer suggestions and share experiences on how to build efficient product development processes. 8. Stay up-to-date with industry trends and propose technical innovation ideas. 9. Work with cross-functional teams to ensure projects are completed on time. 10. Collaborate with Unity to develop iOS/Android underlying systems. +++++Being proactive is one of our core values; we love people who are proactive and suggest solutions and improvements in the team's work!+++++
應徵
5/07
台北市松山區經歷不拘大學以上月薪40,000~50,000元
1.使用Python程式設計,並熟悉Stable Diffusion,運用ComfyUI、ControlNet、Attention Masking及LORA技術進行開發和優化。 2.會寫prompt,以增強模型訓練的效果和效率。 3. 使用Flux, Image2Image, TexttoVideo,
應徵
4/16
台北市松山區2年以上大學月薪30,000~35,000元
1. 測試設計與執行: - 開發、設計並實施測試策略、測試計劃和測試案例,以驗證產品的功能和性能。 - 執行手動和自動化測試,確保軟體功能的全面覆蓋,並發現潛在問題。 2. 調試與問題解決: - 識別、記錄並排除軟體中的缺陷、不一致性和錯誤。 - 與開發團隊合作解決問題,並驗證修復情況,確保產品在發布前達到品質標準。 3. 品質控制與保證: - 進行嚴格的品質控管流程,確保產品符合公司標準和客戶期望。 - 執行回歸測試,確認最近的更改不會對現有功能產生負面影響。 4. 報告撰寫與文件整理: - 撰寫詳細且準確的測試報告,總結發現、風險和建議。 - 為內部團隊撰寫完整的規範文件,並根據需要提供清晰的客戶文檔。 - 維護測試流程、結果和專案進展的完整文檔。 5. 專案管理: - 協調測試計劃和資源,確保與專案期限和目標一致。 6. 其他主管指派交辦事項。 +++++主動積極,我們喜歡那些能主動提出解決方案並改進團隊工作的人!+++++ 1. Test Design & Execution: - Develop, design, and implement test strategies, test plans, and test cases to validate product functionality and performance. - Execute manual and automated tests, ensuring comprehensive coverage of software features and identifying potential issues. 2. Debugging & Problem Resolution: - Identify, document, and troubleshoot defects, inconsistencies, and errors in the software. - Collaborate with development teams to resolve issues and verify fixes, ensuring that products meet quality standards before release. 3. Quality Control & Assurance: - Conduct rigorous quality control processes to ensure products meet company standards and customer expectations. - Perform regression testing to confirm that recent changes do not negatively impact existing functionality. 4. Report Writing & Documentation: - Generate detailed and accurate test reports, summarizing findings, risks, and recommendations. - Create comprehensive specification documents for internal teams and clear, client-facing documentation as required. - Maintain thorough documentation of test processes, results, and project progress. 5. Project Management: - Coordinate testing schedules and resources, ensuring alignment with project deadlines and goals. 6. Handle other tasks assigned by the supervisor. +++++Be proactive; we love people who are proactive and suggest solutions and improvements in the team's work!+++++
應徵
5/16
台北市松山區1年以上大學月薪30,000~50,000元
(具有至少一年以上工作經驗,熱愛動畫,工作使用語文:中文、英文及日文) 1. 了解公司產品架構 2. 定期追蹤競爭產品的網站及社群媒體、各大論壇的相關熱門議題與話題趨勢。 3. 分析公司產品品牌營運數據,持續維護及優化產品服務的使用者體驗並回饋使用者。 4. 追蹤、分析、解讀相關營運數據,製作報表,並對規劃執行之成效提出反饋與調整建議。 5. 協力完成各項行銷文檔內容,包含公司網站、公司產品網站及社群圖文、影音、活動、簡報、廣告文宣、新聞報導等內容規劃、製作與更新。 6. 持續檢測分析產品資料,關注產品使用者體驗,定期進行競品分析,提出優化意見,持續完善產品。 7. 具備遊戲推廣、網站設計之經驗。 8. 撰寫使用說明、攻略、社群貼文;撰寫介面上的多語系介紹、內文;撰寫使用者流程(需精通中文、英文及日文) 9. 其他主管交辦事宜。 +++++我們喜歡積極主動的人,積極主動地提出解決方案和改進團隊的工作! +++++ Marketing Planning: (At least one year of work experience, passionate about animation, work language: Chinese, English, and Japanese) 1. Understand the company's product structure. 2. Regularly track competitive products' websites, social media, and trending topics in major forums. 3. Analyze the company's product brand operation data, continuously maintain and optimize the user experience of product services, and provide user feedback. 4. Track, analyze, and interpret relevant operational data to create reports, and provide feedback and adjustment recommendations on the effectiveness of planned executions. 5. Assist in completing various marketing documents, including planning, producing, and updating content for the company website, product websites, social media posts (graphics, text, video), events, presentations, advertisements, press releases, etc. 6. Continuously monitor and analyze product data, focus on user experience, regularly conduct competitive product analysis, and propose optimization suggestions to continuously improve the product. 7. Experience in game promotion and website design. 8. Write user manuals, guides, and social media posts; write multi-language interface descriptions and content; write user flows (must be proficient in Chinese, English, and Japanese). 9. Other tasks assigned by the supervisor. +++++Be proactive, we love people who are proactive and suggest solutions and improvements in the team's work!+++++
應徵
5/12
台北市松山區5年以上大學以上月薪100,000~140,000元
(具有至少五年以上工作經驗,並且能夠有效管理與指導團隊成員是至關重要的) 1. 計算機科學,計算機工程或電氣工程或深度學習,機器學習和自然語言處理相關領域的碩士或博士學位。 2. 熟悉日語和動畫/角色行業。 3. 使用 Docker 的經驗。 4. 使用深度學習框架,如TensorFlow和PyTorch的經驗。 5. 使用RAG,SelfRAG,VectorDb,GraphDB的經驗。 6. 熟悉Python和數據工具,如Pandas,Matplotlib,Numpy。 7. 開發經驗數據分析,特別是LLM和多模式基礎模型。 8. 在以下領域應用過AI的經驗 : AI角色對話、AI日程規劃師和個人助理、VITS情感語音生成、大型動作模型和視覺演進。 9. 廣泛的端到端機器學習渠道活動,包括框架AI問題,數據挖掘/結構化/收集/預處理/探索,模型開發/評估,模型部署/監控。 10. 與不同地區的不同軟體、研究和硬體團隊合作,創造新的體驗並解決關鍵問題。 11. 瞭解和分析硬體和軟體架構在未來應用程序中的相互作用。 12. 注重細節和較強的閱讀和寫作能力。 13. 您將成爲一個不斷增長的AI團隊的關鍵成員,該團隊可以架構,分析,開發,原型和交付深度學習端到端系統。 14. 熟悉大容量、模型服務和量化。 15. 使用llama Index或Langchain或同等經驗。 16. 熟悉ONNX 格式. +++++我們喜歡積極主動的人,積極主動地提出解決方案和改進團隊的工作! +++++ (Having at least 5 years of experience, the ability to effectively manage and mentor team members is crucial.) 1. A master's or Ph.D. in computer science, computer engineering, electrical engineering, or related fields such as deep learning, machine learning, and natural language processing. 2. Familiarity with Japanese language and the animation/character industry. 3. Experience with Docker. 4. Experience with deep learning frameworks such as TensorFlow and PyTorch. 5. Experience with RAG, SelfRAG, VectorDb, GraphDB. 6. Proficiency in Python and data tools like Pandas, Matplotlib, Numpy. 7. Development experience in data analysis, particularly with LLM and multimodal foundational models. 8. Experience applying AI in areas such as AI character dialogue, AI scheduling assistants, VITS emotional voice generation, large action models, and visual evolution. 9. Extensive end-to-end machine learning pipeline activities, including framing AI problems, data mining/structuring/collection/preprocessing/exploration, model development/evaluation, and model deployment/monitoring. 10. Collaborating with different software, research, and hardware teams across regions to create new experiences and solve critical problems. 11. Understanding and analyzing the interaction between hardware and software architectures in future applications. 12. Attention to detail and strong reading and writing skills. 13. You will be a key member of a growing AI team that can architect, analyze, develop, prototype, and deliver end-to-end deep learning systems. 14. Familiarity with high-volume, model serving, and quantization. 15. Experience with llama Index or Langchain or equivalent experience. 16. Familiar wtih ONNX Format +++++Be proactive, we love people who are proactive and suggest solutions and improvements in the team's work!+++++
應徵
5/16
台北市松山區5年以上大學以上月薪100,000~160,000元
(具有至少五年以上工作經驗,並且能夠有效管理與指導團隊成員是至關重要的) 1、計算機科學,計算機工程或電氣工程或深度學習,機器學習和自然語言處理相關領域的碩士或博士學位。 2、熟悉日語和動畫/角色行業是加分項。 3、使用RAG,SelfRAG,VectorDb,GraphDB的經驗。 4、使用LLM優化框架的經驗,例如VLLM、 Ex-llama、 llama.cpp。 5、使用 Docker、Kubernetes 、Triton Inference Server 或 TensorRT的經驗。 6、高容量、模型服務和量化的經驗。 7、AI 模型的產品級部署經驗。 8、測試AI模型性能(質量,延遲,負載處理)的經驗。 9、AI模型優化、容器化、部署、版本控制和品質監控。 10、開發經驗數據分析,特別是LLM和多模式基礎模型。 11、使用 Ray Serve 的經驗。 12、使用深度學習框架,如TensorFlow和PyTorch的經驗。 13、 與不同地區的不同軟體、研究和硬體團隊合作,創造新的體驗並解決關鍵問題。 14、在以下領域應用過AI的經驗 : AI角色對話、AI日程規劃師和個人助理、VITS情感語音生成、大型動作模型和視覺演進。 15、瞭解和分析硬體和軟體架構在未來應用程序中的相互作用。 +++++積極主動,我們喜歡積極主動的人,並且歡迎提出解決方案和改進團隊工作的方法!+++++ (Having at least 5 years of experience, the ability to effectively manage and mentor team members is crucial.) 1. A Master's or Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, or related fields such as Deep Learning, Machine Learning, and Natural Language Processing. 2. Familiarity with Japanese language and the animation/character industry is a plus. 3. Experience with RAG, SelfRAG, VectorDb, GraphDB. 4. Experience with LLM optimization frameworks such as VLLM, Ex-llama, llama.cpp. 5. Experience with Docker, Kubernetes, Triton Inference Server, or TensorRT. 6. Experience in high-capacity, model serving, and quantization. 7. Product-level deployment experience of AI models. 8. Experience testing AI model performance (quality, latency, load handling). 9. Experience in AI model optimization, containerization, deployment, version control, and quality monitoring. 10. Experience in developing data analysis, particularly with LLMs and multimodal foundation models. 11. Experience with Ray Serve. 12. Experience with deep learning frameworks such as TensorFlow and PyTorch. 13. Collaborating with diverse software, research, and hardware teams across different regions to create new experiences and solve critical problems. 14. Experience in applying AI in areas such as AI character dialogue, AI schedule planner and personal assistant, VITS emotional voice generation, large motion models, and visual evolution. 15. Understanding and analyzing the interaction between hardware and software architectures in future applications. +++++Be proactive; we love people who are proactive and suggest solutions and improvements in the team's work!+++++
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