Sr. Machine Learning Engineer, Computer Vision (San Francisco)

Position Overview

Join Pinterest Labs on the visual modeling team and contribute to developing Pinterest Canvas – our internal text-to-image generative model that powers innovative visualization features across the platform. You will work with a rich visual-text dataset and collaborate within a small, dynamic team of engineers and product specialists, helping shape next-generation computer vision and generative ML applications.

Key Responsibilities

• Prototype new model architectures for Pinterest Canvas and implement diffusion-based text-to-image models.
• Read research papers, participate in group discussions, and contribute to the overall visual generative strategy.
• Collect and curate relevant visual training data to support techniques such as RLHF and targeted fine-tuning.
• Publish and publicize research findings via conferences, papers, and blog posts.
• Mentor junior researchers and research interns within the Pinterest Labs organization.

Required Qualifications

• Experience working with generative computer vision models, preferably diffusion models.
• 5+ years of industry computer vision experience.
• M.S. or PhD in Machine Learning, Computer Science, or a related field.
• Publications at top ML conferences.

Benefits & Perks

• Compensation: $150,713 - $310,291 USD with eligibility for equity.
• Flexible in-office collaboration – required on-site 1-2 times per quarter.
• Work in an inclusive, equitable, and inspiring culture that values creativity and innovation.
• Opportunities for professional growth and participation in industry conferences and publications.
• Please note: This position is not eligible for relocation assistance.