工作描述
20 天前
Our position has great flexibility on locations globally and is 100% remote-working.
Giggle Academy is seeking an experienced AI Engineer (video generation) to join our founding team
Responsibilities
• Responsible for the application and development of large AI models on video content.
• Generating videos through AI for our educational interactive content.
• Optimizing the quality and efficiency of video generation and developing automated generation tools.
• Developing human-computer interaction (HCI) to optimize the content quality and relevance.
Requirements
• Degree in computer science, programing or software-related programs; direct experience in AI/machine learning related projects are preferred.
• Solid programming skills with training frameworks such as tensorflow and pytorch.
• Familiar with generation models such as Stable Diffusion and Midjourney; video processing (FFmpeg, etc.) is preferred.
• Familiar with large model application development (GPT series, LLaMA, etc.), and large model enhancement technologies (RAG, RLHF, etc.).
• Experience with using common AI tools such as stable diffusion web ui/comfyUI etc.
• Familiar with model deployment and service (FastAPI/Flask, etc.); GPU cluster usage and management is preferred
• Candidate with prior experience in video generation related projects, education product development, open source projects, and/or deployment of large models is preferred
Giggle Academy is seeking an experienced AI Engineer (video generation) to join our founding team
Responsibilities
• Responsible for the application and development of large AI models on video content.
• Generating videos through AI for our educational interactive content.
• Optimizing the quality and efficiency of video generation and developing automated generation tools.
• Developing human-computer interaction (HCI) to optimize the content quality and relevance.
Requirements
• Degree in computer science, programing or software-related programs; direct experience in AI/machine learning related projects are preferred.
• Solid programming skills with training frameworks such as tensorflow and pytorch.
• Familiar with generation models such as Stable Diffusion and Midjourney; video processing (FFmpeg, etc.) is preferred.
• Familiar with large model application development (GPT series, LLaMA, etc.), and large model enhancement technologies (RAG, RLHF, etc.).
• Experience with using common AI tools such as stable diffusion web ui/comfyUI etc.
• Familiar with model deployment and service (FastAPI/Flask, etc.); GPU cluster usage and management is preferred
• Candidate with prior experience in video generation related projects, education product development, open source projects, and/or deployment of large models is preferred
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