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 Now
Apply Now
• 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 Now
Apply Now