Note: The job is a remote job and is open to candidates in USA. Pinterest is a platform where millions find creative ideas and is on a mission to inspire users to create a life they love. They are seeking a Machine Learning Engineer II focused on computer vision to prototype new model architectures, develop evaluation benchmarks, and contribute to the advancement of vision-centric large language models.
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
Skills
- 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
Benefits
- The position is also eligible for equity.
- Information regarding the culture at Pinterest and benefits available for this position can be found here.
- 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.
- 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.
Company Overview