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.
About the job
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 Models, Text-To-Image Models, Generative Computer Vision, Machine Learning, Computer Vision, PyTorch, TensorFlow, RLHF, Fine-Tuning, Multimodal Learning
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