Staff Machine Learning Engineer, Visual AI

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love. AI is a powerful partner that augments our creativity and amplifies our impact.

Pinterest Labs focuses on applied ML research and development, working across LLMs/VLM, agent design, core computer vision, multimodal representation learning, visual generative modeling, recommender systems, graph learning, and more. The Visual team develops Pinterest's foundation visual models, training large-scale VLMs, encoders, and diffusion models from scratch that are continuously shipped to production. The team is subdivided into two pods: the visual understanding pod builds core visual embeddings and token models such as PinCLIP; the visual generative pod builds Pinterest Canvas, our production image editing and generation model.

• Build state-of-the-art visual encoders, VLMs, and diffusion models that power Pinterest's visual AI capabilities.
• Experiment with billion-scale image datasets, backed by large-scale GPU computing.
• Build flexible visual reasoning tools such as composed image retrieval, promptable image feature computation, instruction-tuned embedding and generative editing models.
• Read research papers, participate in group discussions, and contribute to the company's AI strategy.
• Help construct data agents to build training data shared across multimodal representation, composed image retrieval, image-editing generation, and visual language modeling.
• Collaborate with product and infrastructure engineers to ship new capabilities.
• Publish work through conferences like CVPR and KDD, paper submissions, and blog posts.
• Mentor junior researchers and research interns.

• Research engineers and scientists with experience building and training large scale vision models.
• Experience with multimodal representations and visual language modeling is strongly preferred.
• A track record of research contributions (e.g., publications, open-source work) and/or shipping ML models to production.
• Hands-on experience with large-scale model training and modern deep learning frameworks (e.g., PyTorch).
• Strong collaboration skills and ability to work in a small, fast-moving team.
• M.S. or PhD in Machine Learning or related academic areas, or equivalent work experience.
• Experience using AI-accelerated research tooling akin to auto-research, data agents, etc.

US based applicants only. Base salary range: $189,308—$389,753 USD. The position is also eligible for equity. This position is not eligible for relocation assistance.

Apply via the Pinterest careers page.