Machine Learning Engineer II, Computer Vision Applied Science
Build and fine-tune vision-centric VLMs and generative models using Pinterest's visual-text datasets. Requires 2+ 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 VLMs. We’re looking for hands-on experience working with finetuning open-source LLM models and improve their visual perception and tool using capabilities.
- Develop new evaluation benchmarks that tailors to vision-centric capabilities such as fashion style recommendations.
- 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 visual encoders and LLMs.
- 2+ 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
Computer Vision, Machine Learning, LLMs, Generative Models, Visual Encoders, Finetuning, RLHF, Multimodal Models, PyTorch, TensorFlow
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