Staff Machine Learning Engineer, Content Visual AI

About the Position

Staff Machine Learning Engineer, Content Visual AI

• San Francisco / New York / Seattle / Remote
• Engineering
• Full-time

At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. We are looking for an experienced Staff Machine Learning Engineer / Technical Lead who can drive the team’s technical direction, lead the team in building scalable content understanding systems, and make an impact on core Pinterest user and business outcomes.

Responsibilities

• 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 scientific and technical initiatives from problem definition and research strategy through experimentation, productionization, and adoption.
• Build reusable embeddings, representations, semantic signals, and ML infrastructure while advancing techniques such as 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 and investments.
• Establish rigorous practices for modeling, data pipelines, distributed training, inference, evaluation, experimentation, and operational excellence while mentoring engineers and scientists.

Requirements

• Minimum 7 years of industry experience, including 2+ years of tech leading teams
• MS or PhD degree in computer science, machine learning, or equivalent industry experience.
• Publications at top machine learning, multimodal and/or data mining conferences (e.g., NeurIPS, ICML, CVPR, ECCV, ACL, KDD, SIGIR, etc.) or 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)
• Hands-on experience leading ambiguous ML and research efforts in building, applying and improving GenAI models for content understanding, search and recommendation systems.
• Technical leadership and experience in setting direction for roadmaps that span modeling, data pipelines and productionization, and aligning stakeholders on priorities, trade-offs, and execution plans.
• Excellent cross-functional communication and collaboration skills

We Offer

• Competitive salary range: $189,308-$389,753 USD
• Equity
• Hybrid work model: in-person collaboration 1-2 times/quarter

About the Company

At Pinterest, we believe the workplace should be equitable, inclusive, and inspiring for every employee. We are an equal opportunity employer and make employment decisions on the basis of merit. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws.

Information regarding the culture at Pinterest and benefits available for this position can be found here.