Senior Machine Learning Engineer (Applied Science)

• Within Pinterest, the Pinterest Labs organization focuses on applied ML research and development

• Labs focuses on a broad variety of AI/ML initiatives, such as core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, recommender systems, etc
• This is the group that develops foundation ML models that fully leverage the tens of billions of Pins and the associated knowledge graph to improve the core product
• We are currently hiring for the visual modeling team in Labs, which focuses on developing Pinterest Canvas
• Canvas is a foundation text-to-image model developed internally for helping various visualization, inpainting, and outpainting products
• In this role, you’ll get to work with Pinterest’s rich visual-text dataset to build large-scale generative models which are continuously being shipped to production to power visualization features
• The core Canvas pod is a small group (~6 engineers along with a product prototyping team) inside of Labs, allowing for deep collaboration
• For example, engineers working on the Canvas project also participate in the development of our core multimodal text & image embeddings, as these are in turn used to condition the model in unique ways
• Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model. We’re looking for hands-on experience working with diffusion text-to-image models and independent model implementation skills
• Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company
• Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc
• Publish and publicize your work via conferences, paper submissions, blog posts, etc
• Mentor more junior researchers or research interns within the Pinterest Labs organization

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