Sr. Machine Learning Engineer, Applied Science

What you'll do:

• 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.

What we're looking for:

• 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.

Nice to Have:

• Publications at top ML conferences.
• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.