[Job Description]
Developing an AI for animation software is challenging and intriguing. As an Intelligent Animation Technology Researcher, you will be conduct research in the field of 2D/3D animation for AI development in collaboration with different departments in the company as well as academics and industries. And also, you will need to participate in software development in order to make a real product for the market.
[What will you do]
1. Do topic research and benchmark on demand.
2. Analysis papers and verification of the algorithms.
3. Design a methodology and develop a prototype.
4. Software engineering.
5. Optimize design.
6. Handover the contribution to the Product Team and help the team to develop it into the product.
[Qualifications]
1. Expert in Deep Learning/Machine Learning.
2. Experience in 2D/3D Computer Graphic/Computer Vision software development.
3. Strong in C++ and Python programming.
4. Familiar with Deep Learning frameworks such as TensorFlow, Keras, PyTorch, Caffe, ..., etc.
5. Familiar with Deep Learning experiences like CNN, RNN, LSTM, GAN, Diffusion Model, Transformer..., etc.
6. Familiar with Unreal/Unity engine.
[About Innovation Department]
We are a passionate team dedicated to animation technology and software development. Simplifying animation production, making the ideas happen and process fun is the coolest thing we can think of. This is not only our daily job, but also our goal. We are working hard to unleash the imagination of users and empower them with easy-to-use but powerful tools.
台灣人工智慧學校致力於人工智慧技術知識的推廣與人才培育,為產業學員提供專業的 AI 技術與知識培訓。我們正在尋找一位具備紮實技術背景、熱忱於知識分享的 AI 工程師 加入我們的 AI 團隊,共同肩負起提升台灣產業 AI 競爭力的使命。
本職位將專注於 AI 技術知識的教學傳遞、實作導向教材的開發、以及前沿技術的研究與應用。您將有機會在一個充滿挑戰與成長的環境中,與一群優秀的專業人士協作,共同為台灣 AI 產業的發展做出貢獻。
▌工作職責:
● AI 技術教學:
o 負責講授人工智慧、機器學習、深度學習等相關技術課程,對象包含具備不同技術背景的產業學員。
o 需能根據學員程度與課程目標,清晰、有條理地傳達複雜的技術概念,並引導學員掌握核心知識與技能。
o 課堂中需進行實作演練指導,並即時解答學員提問,確保教學品質與學習成效。
● AI 教材開發:
o 設計與開發實作導向的 AI 教材,內容涵蓋程式碼範例、Low-code 工具應用、教學簡報、案例分析等形式。
o 教材開發需緊密結合產業應用案例,確保教材的實用性與關聯性。
o 定期更新與優化現有教材,以反映 AI 技術的最新發展趨勢。
● AI 技術研究與開源工具整合 :
o 持續關注生成式 AI (Generative AI)、大型語言模型 (LLM) 等前沿技術的發展,並進行深入研究。
o 評估開源 AI 工具的適用性,並將其整合應用於教學與教材開發中。
o 探索運用開源工具開發創新 AI 應用,並將成果貢獻於開源社群的可能性。