Machine Learning Engineer II, Computer Vision Applied Science

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.

In-Office Requirement Statement

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.