Staff Machine Learning Engineer, Content Visual AI
Pinterest · San Francisco, CA, US; New York City, NY, US; Seattle, WA, US; Remote, US
About this role
**About Pinterest** Millions of people use Pinterest to find creative ideas, dream about new possibilities, and plan memories that last a lifetime. At Pinterest, AI is a powerful partner that augments creativity and amplifies impact—supported by an interview process focused on how you think and explain your approach. **Team / Org** The User and Content Foundations org builds foundational capabilities that power relevance and personalization across Pinterest. You’ll work at the intersection of distributed machine learning, large multimodal models, data infrastructure, and product adoption to create reusable signals and insights for teams including Discovery, Search, Growth, and Ads. **Role: Staff Machine Learning Engineer / Technical Lead (Content Visual AI)** Lead ambiguous, high-impact scientific and engineering efforts to create reusable representations, models, and signals. Partner across research, ML, infrastructure, and engineering to turn advances in VLMs, LLMs, multimodal learning, and sequence modeling into product and business outcomes. --- ## What you’ll be doing - Set the technical direction and multi-quarter strategy for foundational ML capabilities across visual representation learning, multimodal content understanding, and LLM-based personalization. - Lead high-impact initiatives from problem definition and research strategy through experimentation, productionization, and adoption. - Build reusable embeddings, representations, semantic signals, and ML infrastructure—advancing VLMs, LLMs, sequence modeling, self-supervised learning, retrieval, and distillation. - Partner with Product, Data Science, Applied Science, and Engineering to translate foundational capabilities into product outcomes and influence cross-functional roadmaps. - Establish rigorous practices for modeling, data pipelines, distributed training/inference, evaluation, experimentation, and operational excellence—while mentoring engineers and scientists. ## What we’re looking for - Minimum **7 years** of industry experience, including **2+ years** leading technical teams. - **MS or PhD** in Computer Science, Machine Learning, or equivalent experience. - Publications at top ML/multimodal/data mining conferences (e.g., NeurIPS, ICML, CVPR, ECCV, ACL, KDD, SIGIR) and/or strong open-source ML experience. - Hands-on experience with large-scale distributed training of generative models (LLMs, VLMs, sequence models). - Hands-on experience with distributed tooling for ML data pipelines (e.g., Spark, Hive, MapReduce). - Experience leading ambiguous GenAI efforts for content understanding, search, and recommendation systems. - Technical leadership experience spanning modeling, data pipelines, and productionization; strong stakeholder alignment on priorities, trade-offs, and execution plans. - Excellent cross-functional communication and collaboration. --- ## Location / Work model - **Relocation:** Not eligible for relocation assistance. - **In-office requirement:** In-person collaboration **1–2 times/quarter**; role can be situated anywhere in the **USA**. --- ## Compensation (US-based applicants only) - **Base salary range:** **$189,308 – $389,753 USD** - Equity eligibility also applies. Final offer depends on factors including location, travel, relevant experience, and skills. --- ## Inclusion commitment Pinterest is an equal opportunity employer and makes employment decisions based on merit. Qualified applicants are considered without regard to protected c
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