【Main Responsibilities】
1. Conduct research related to the art and design fields to maintain an understanding of the latest advances in the field of artificial intelligence generation, machine learning and deep learning technologies, and to identify opportunities for integrating them into virtual human products and services.
2. Collaborate with ML team, GE team and 3D art team to integrate AI generated content into projects.
3. Develop and import new AI Art Generator, an artificial intelligence art tool.
4. Integrate different AI models and techniques to create unique visual effects and styles.
5.Design, develop, and implement generative AI models and algorithms, utilizing state-of-the-art techniques such as GPT, VAE, and GANs.
6.Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate research findings including status and results to both technical and non-technical stakeholders.
1.進行與美術和設計領域相關的研究，以保持對人工智慧生成領域、機器學習和深度學習技術的最新進展了解，並識別將其整合到虛擬人產品和服務中的機會。
2.與ML團隊、GE團隊和3D美術團隊合作，將人工智慧生成內容整合到專案。
3.開發和導入新的人工智能藝術工具AI Art Generator。
4.整合不同的人工智慧模型和技術創造獨特的視覺效果和風格。
5.利用最先進的機器學習算法，如GPT、VAE和GANs，設計、開發和實施人工智慧生成模型。
6.開發清晰簡潔的文檔，包括技術規範、使用者指南和演示文稿，向懂技術和非技術專業者(利益相關者)傳達近期相關研究，包括進行狀態和各種嚐試結果。
【Key Requirements】
1.Completed Master. in a related area, e.g. Computer Vision, Computer Graphics, VR/AR/MR.
2.Real passion and experience in AI generative area and keen interest of transforming research oriented foundation models into valuable and accessible real-life applications.
3.Practical experience in research of AI models, e.g. transformers, diffusion models, VAE/GAN. Familiarity with recent AIGC models, e.g. large language models (chatgpt, GPT4), multimodal foundation models [Vision and text and code and beyond] (CLIP, DALL-E2, Stable Diffusion, Codex), and deep knowledge of the capabilities and limitations of these models.
4.Familiarity with the following: deep learning frameworks, NLP-context understanding and topic tracking; NLG-summarization, prompt engineering, instruction tuning, RLHF, chatbot building, Vision Question and Answering/Captioning, text-to-image generation.
5.Proficient in Python programming with strong experience in machine learning libraries such as TensorFlow, PyTorch, and scikit-learn
6.Strong experience in image, and video generation, and content creation using AI
1.取得相關領域的碩士學位，如電腦視覺、電腦圖形、VR/AR/MR。
2.對人工智慧生成領域有熱情和經驗，對將研究導向的基礎模型轉化為有價值和可應用於現實生活有濃厚的興趣。
3.在人工智慧模型的研究方面有實際經驗，例如transformers、diffusion models、VAE/GAN。熟悉最近的AIGC模型，例如大型語言模型（ChatGPT、GPT4）、多模態基礎模型[視覺、文本、代碼及更多]（CLIP、DALL-E2、Stable Diffusion、Codex），並對這些模型的能力和限制有深入的了解。
4.對以下任一技能熟悉：深度學習框架、NLP-語境理解和話題追蹤；NLG-摘要、提示工程、指令調整、RLHF、聊天機器人構建、視覺提問和回答/字幕、文本到圖像生成。
5.精通Python程式設計，對TensorFlow、PyTorch和scikit-learn等機器學習庫有豐富經驗。
6.對使用AI產生2D/3D圖像、影片生成和內容創作方面擁有經驗。
