Machine Learning Engineer II, Computer Vision Applied Science

Pinterest is a platform that inspires creativity and planning for lasting memories. They are seeking a Machine Learning Engineer II to advance vision-centric large language models, focusing on model architecture prototyping, developing evaluation benchmarks, and mentoring junior researchers.

Responsibilities:

• 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

Requirements:

• 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
• 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