Staff Machine Learning Engineer, Computer Vision
Staff Machine Learning Engineer developing state-of-the-art visual encoders and multimodal models at Pinterest Labs. Prototype visual reasoning tools, train billion-scale models on rich visual-text data, ship to production for recommender systems and VLMs, publish research, and mentor juniors. Requires strong CV/ML background, publications, and PhD or equivalent.
About the job
What you’ll do
- 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.
What we’re looking for
- Research engineers and scientists with 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.
Skills
Computer Vision, Multimodal Representations, Visual Language Models, PyTorch, Large-Scale Model Training, Gpu Computing, Composed Image Retrieval, Promptable Detection, Segmentation, Generative Models, Recommender Systems, Research Publications
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