AI Algorithm Engineer

用人方：远程团队（名称在约面时告知）

Responsibilities • Lead research, pre-training, optimization, and iteration of Vision Foundation Models, including Stable Diffusion, DiT, Vision Transformer (ViT), Segment Anything Model (SAM), CLIP, and other cutting-edge computer vision models. • Design and fine-tune vision models for business scenarios such as AI image generation, image editing, multimodal understanding, and intelligent visual applications. • Lead Supervised Fine-Tuning (SFT), Parameter-Efficient Fine-Tuning (PEFT), LoRA, ControlNet, Adapter tuning, and related optimization techniques. • Explore and improve generative model architectures and visual feature extraction networks to enhance image quality, stability, resolution, inference efficiency, and multimodal alignment. • Collaborate with engineering teams to deploy large-scale AI models into production and optimize inference performance through quantization, pruning, inference acceleration, memory optimization, and deployment tuning. • Continuously track the latest academic research, open-source projects, and industry trends in Computer Vision (CV), Multimodal AI, and Generative AI, rapidly transforming new technologies into business value. Requirements Education • Bachelor's degree or above in Computer Science, Artificial Intelligence, Applied Mathematics, or related fields. Technical Skills • Strong expertise in Vision Foundation Models and a deep understanding of Diffusion Models, Vision Transformers (ViT), MAE, and related architectures. • Experience