萬達人工智慧科技股份有限公司
資深 機器學習工程師 / Senior Machine Learning Engineer
10/9 Updated
Array
Full-time
Manager/Director
Salary & Location
Monthly SalaryNT$ 100,000~140,000
台北市松山區
Required
Language Requirements
Japanese
聽/中等、說/中等、讀/中等、寫/中等
English
聽/中等、說/中等、讀/中等、寫/中等
Work Experience
5年以上
Job Description
(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!+++++
Educational Requirements
大學(學院)以上
Work Schedule
8:30~17:30
Leave Policy
週休二日
Job Skills
System Architecture Planning
Software Programming
Machine Learning
系統架構規劃 軟體程式設計 Machine Learning
Job Category
Software Engineer
Algorithm Engineer
台北市松山區
電腦軟體服務業
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.
