Senior Machine Learning Engineer (Computer Vision)

Requirements • Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of diffusion models, • 5+ years of industry computer vision experience, • M.S. or PhD in Machine Learning, Computer Science, or related areas, • Publications at top ML conferences What the job involves • 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 Apply tot his job Apply To this Job