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Staff Machine Learning Engineer, Computer Vision
ZigsawStaff Machine Learning Engineer specializing in computer vision for Pinterest's AI initiatives and visual modeling. Collaborating in a small team to innovate and enhance visual encoding and machine learning models.
Posted 7/13/2026full-timeSan Francisco • California • 🇺🇸 United StatesLead💰 $189,308 - $389,753 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and training computer vision models, with a strong focus on multimodal representations and visual language modeling. Proven ability to collaborate effectively in fast-paced environments and contribute to research through publications and mentorship.
Highest-signal resume keywords
Computer Vision Model DevelopmentMultimodal Representation ExpertiseDeep Learning Frameworks (PyTorch)Research Contributions and PublicationsMentorship and Collaboration Skills
ATS Keywords
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Hard Skills
Computer VisionModel TrainingMultimodal RepresentationsVisual Language ModelingDeep LearningLarge-Scale Model TrainingImage RetrievalSegmentationGenerative ModelsData Collection
Soft Skills
CollaborationMentorshipCommunication
Tools & Technologies
GPU ComputingCursorCopilotCodex
Certifications & Qualifications
M.S. or PhD in Machine Learning
Industry Keywords
Visual Generative StrategyResearch PapersConferencesOpen-Source WorkInstruction-Tuned Embedding
Tech Stack
Tools & technologiesPyTorch
About the role
Key responsibilities & impact- Prototype state-of-the-art visual encoders that power Pinterest's recommender systems and internal visual language models.
- Experiment with billion-scale datasets and gain hands-on experience with large-scale GPU computing.
- Build flexible visual reasoning tools such as composed image retrieval, promptable detection/segmentation, and instruction-tuned embedding and generative models.
- Read research papers, participate in group discussions, and help brainstorm the company's overall visual generative strategy.
- Help collect relevant visual instruction training data that can be shared across multimodal representation, composed image retrieval, text-to-image generation and visual language modeling.
- Publish and share your work through conferences, paper submissions, and blog posts.
- Mentor junior researchers and research interns within the Pinterest Labs organization.
Requirements
What you’ll need- Experience building and training computer vision models
- Experience with multimodal representations and visual language modeling is strongly preferred.
- A track record of research contributions (e.g., publications, open-source work) and/or shipping ML models to production.
- Hands-on experience with large-scale model training and modern deep learning frameworks (e.g., PyTorch).
- Strong collaboration skills and a demonstrated ability to work effectively in a small, fast-moving team.
- M.S. or PhD in Machine Learning or related academic areas, or equivalent work experience.
- Publications at top ML conferences
- Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
Benefits
Comp & perks- Health insurance
- Working flexibility
- Professional development opportunities
- Equity options