Verified Job
Hardware / Network Engineer
AI Algorithm Engineer
Hardware / Network Engineer
#4900
Remote / WFH
Job Description
Full job description
Job Overview
The company is seeking a highly skilled and passionate AI Algorithm Engineer to join the cutting-edge research and development team. Unlike standard applied AI roles, this position is deeply focused on the foundational layer of vision models. You will be instrumental in designing, pre-training, scaling, and fine-tuning our next-generation image foundation models from the ground up. You will not just be utilizing existing open-source models; you will be diving into the underlying architectures to create proprietary, state-of-the-art visual generation capabilities. If you are passionate about the complex mathematics of Diffusion models, the underlying architecture of Vision Transformers, and building robust, multi-modal systems that will directly power the core products, you are wanted to the team.
Duties:
Vision Foundation Model R&D & Iteration: Lead the underlying algorithm research, pre-training, and continuous optimization of cutting-edge image foundation models (e.g., Stable Diffusion, DiT, ViT, SAM, CLIP).
Business Scenario Customization & Fine-Tuning: Tailor vision models to core business needs (such as AIGC image generation, image editing, and multi-modal understanding). Lead deep supervised fine-tuning (SFT) and parameter-efficient fine-tuning (e.g., LoRA, ControlNet, Adapters).
Model Architecture Innovation: Explore and improve existing generative models and visual feature extraction network architectures to enhance image generation quality, stability, resolution, and cross-modal alignment.
Engineering Deployment & Performance Tuning: Collaborate with the engineering team to implement end-to-end deployment of large models. Optimize inference performance and resolve engineering bottlenecks such as high VRAM usage and slow generation speeds (via inference acceleration, quantization, pruning, etc.).
Cutting-Edge Technology Tracking: Continuously monitor the latest papers and open-source developments in Computer Vision (CV) and multi-modal large models, rapidly reproducing and translating state-of-the-art algorithms into business value.
Job Overview
The company is seeking a highly skilled and passionate AI Algorithm Engineer to join the cutting-edge research and development team. Unlike standard applied AI roles, this position is deeply focused on the foundational layer of vision models. You will be instrumental in designing, pre-training, scaling, and fine-tuning our next-generation image foundation models from the ground up. You will not just be utilizing existing open-source models; you will be diving into the underlying architectures to create proprietary, state-of-the-art visual generation capabilities. If you are passionate about the complex mathematics of Diffusion models, the underlying architecture of Vision Transformers, and building robust, multi-modal systems that will directly power the core products, you are wanted to the team.
Duties:
Vision Foundation Model R&D & Iteration: Lead the underlying algorithm research, pre-training, and continuous optimization of cutting-edge image foundation models (e.g., Stable Diffusion, DiT, ViT, SAM, CLIP).
Business Scenario Customization & Fine-Tuning: Tailor vision models to core business needs (such as AIGC image generation, image editing, and multi-modal understanding). Lead deep supervised fine-tuning (SFT) and parameter-efficient fine-tuning (e.g., LoRA, ControlNet, Adapters).
Model Architecture Innovation: Explore and improve existing generative models and visual feature extraction network architectures to enhance image generation quality, stability, resolution, and cross-modal alignment.
Engineering Deployment & Performance Tuning: Collaborate with the engineering team to implement end-to-end deployment of large models. Optimize inference performance and resolve engineering bottlenecks such as high VRAM usage and slow generation speeds (via inference acceleration, quantization, pruning, etc.).
Cutting-Edge Technology Tracking: Continuously monitor the latest papers and open-source developments in Computer Vision (CV) and multi-modal large models, rapidly reproducing and translating state-of-the-art algorithms into business value.
