AI Engineer
Must-have:Python
Responsibilities
- Conduct research and development in computer vision, with emphasis on training and fine-tuning vision generative models (e.g., Diffusion Models) and large multimodal models
- Apply cutting-edge AIGC technologies to real-world product scenarios, and participate in innovative projects such as multimodal manga/story generation
- Collaborate with cross-functional teams to drive end-to-end model delivery (including deployment and optimization), solving practical business challenges
- Write technical documentation, patents, and academic papers
Qualifications
- Master's degree or above in Computer Vision, Deep Learning, or related fields, with over 2 years of relevant work experience
- Proficient in Python, with hands-on experience in deep learning frameworks such as PyTorch and TensorFlow
- Experience with generative models, including Diffusion Models, multimodal model fine-tuning (e.g., LoRA), and image-to-image generation
- Proven ability to apply deep learning technologies to real-world products; passionate about emerging technologies, capable of tackling challenging problems and quickly validating solutions
- Solid research track record, with at least one first-authored publication at international conferences such as ICIP, NeurIPS, WACV, or FG