AI ENGINEER

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