Algorithm Engineer – AIGC

The Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do.

Job Description:

• Model Training & Optimization: Design and execute training pipelines for large-scale AIGC models, including data curation, training stability, and performance optimization. Apply large-scale diffusion models to practical visual tasks such as low-light enhancement.
• Architecture & System Design: Contribute to the architecture and algorithm design for AIGC and large multi-modality models spanning image and video, from foundational model training through to post-training alignment and quality enhancement.
• Post-training & Alignment: Implement and advance post-training methods for diffusion-based multimodal large models to improve output quality.
• Capability Exploration: Investigate and prototype emerging capabilities such as multi-modal understanding and visual content generation.
• Frontier Research: Track cutting-edge AIGC research, drive project planning, and deliver production-grade implementations. Contribute to the academic community through publications at top-tier venues.

Requirements:

• Master's degree or above in Computer Science or related fields
• First-author publication(s) at top-tier venues (CVPR/ICLR/ECCV/ICML/NeurIPS/TPAMI) on diffusion-based multimodal generation, particularly post-training/alignment methods that improve generation quality;
• Have experience in multimodal large model across image generation or video generation
• Proficient in PyTorch;
• Good programming skills in Python, C++, and CUDA;
• Strong problem-solving skills, innovative thinking, and excellent team collaboration/communication skills.