Pinterest is seeking an experienced Engineering Manager for the Content Foundation ML team, which focuses on understanding the semantic meaning of content and generating insights for relevance and personalization. The role involves leading a team of engineers and applied scientists to develop scalable content understanding systems that support key products across Discovery, Search, Growth, and Ads. The ideal candidate will provide technical leadership in machine learning and content understanding while managing project execution and stakeholder communication. This position emphasizes collaboration with product and data science teams to drive impactful outcomes.

• 7+ years of industry experience, including 2+ years of management experience.
• Masters degree in computer science, computer engineering, or equivalent work experience.
• Publication at top machine learning and data mining conferences such as NeurIPS, ICML, KDD, or SIGIR.
• Experience with large scale distributed training and inference of LLM and VLM models.
• Experience with distributed tooling for ML data pipelines, such as Hadoop or Spark.
• Proven technical leadership across both ML and Data systems.

• Lead, mentor, and grow a team of engineers and applied scientists in developing foundational content understanding signals.
• Provide thought leadership in content understanding and machine learning by setting a long-term technical vision.
• Manage project execution and stakeholder communication, including roadmap planning and technical decision-making.
• Help the team solve difficult technical challenges related to content understanding and signal generation.
• Build robust monitoring, evaluation, and debugging systems to ensure signal quality and freshness at scale.