Pinterest Labs

Pinterest Labs acts as the hub for machine learning research and artificial intelligence (AI) product innovation. Its AI investments expand over several areas, including state-of-the-art recommendation systems, advanced computer vision models, hyper-scale graph understanding, responsible AI development, and multimodal generative modeling. OmniSage, for instance, is a unified embedding system for representing Pinterest-native content. This system enables the representation of pins, boards, products, search queries, and more. Furthermore, Pinterest utilizes generative models that assist in creating personalized content experiences for users. This includes Pinterest Canvas, a multimodal image and video diffusion model that enables open-ended image editing and enhancement, bringing significant advancement to visual graph data. It also holds a focus on visual understanding, developing a visual embedding system trained on multimodal pre-training contrastive task. Furthermore, Pinterest Labs incorporates responsible AI, working beyond policy enforcement to ensure the development of ethically sound AI systems, with a focus on Inclusive AI, ML Fairness, and Responsible GenAI Systems. These area all incorporated into the machine learning lifecycle at Pinterest. AI plays a crucial role at Pinterest, driving their search, recommendation, and generative AI products. This includes the development of Pinterest-specific embeddings like the Unified Visual Embedding, OmniSearchSage, and PinnerSage, which are integrated into various ranking and retrieval systems.