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PinterestPinterestSan Francisco, CA

Sr. Machine Learning Engineer, Computer Vision

Build and prototype diffusion-based text-to-image generative models (Pinterest Canvas) using large-scale visual-text datasets. Requires 5+ years industry computer vision experience and an M.S. or Ph.D.

161k – 332k
Remote5+ YOEML Engineering

About the role

What you’ll do

  • Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model. Hands-on experience working with diffusion text-to-image models and independent model implementation skills required.
  • 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.

Skills

Diffusion ModelsText-To-Image ModelsGenerative Computer VisionMachine LearningComputer VisionPyTorchTensorFlowRLHFFine-TuningMultimodal Learning

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