Engineering Manager, AI & Content Understanding

Pinterest; California (MO); Hybrid; USD 223,000 - 390,000; Full time

Job summary

Pinterest is seeking an experienced Engineering Manager to lead a team of engineers and applied scientists focused on foundational content understanding signals and scalable infrastructure across Discovery, Search, Growth, and Ads.

You will set a long-term technical vision for semantic signal generation, partner with product and data science teams, and drive multi-quarter roadmaps while solving scalable challenges and measuring impact on relevance and user engagement.

Qualifications

• 7+ years of industry experience, including 2+ years in management.
• Masters degree in computer science, computer engineering, or equivalent work experience.
• Publications at top machine learning and data mining conferences (e.g., NeurIPS, ICML, KDD, SIGIR).
• Experience with large-scale distributed training and inference of LLM and VLM models.
• Leading ambiguous ML projects to build, apply and improve GenAI models for content understanding and recommendation systems.
• Proven technical leadership across ML and Data systems with multi-quarter roadmaps.

Responsibilities

• Lead and grow a team of engineers and applied scientists in developing foundational content understanding signals, infrastructure and systems integral to Pinterest products.
• Provide long-term technical vision for semantic signal generation and scalable model-powered infrastructure; partner with product, data science, and downstream engineering teams.
• Manage project execution and stakeholder communication, including roadmap planning, risk mitigation, and progress updates.
• Help the team solve challenges around LLM/VLM utilization, reusable foundational layers, and performance at scale.

Skills

Leadership

Cross-functional collaboration

ML systems

LLM/VLM experience

Communication

Problem solving

Education

Master's degree in CS or related field

Tools

Hadoop

Spark

Job description

Pinterest is seeking an experienced Engineering Manager to lead a team of engineers and applied scientists focused on foundational content understanding signals and scalable infrastructure across Discovery, Search, Growth, and Ads.

You will set a long-term technical vision for semantic signal generation, partner with product and data science teams, and drive multi-quarter roadmaps while solving scalable challenges and measuring impact on relevance and user engagement.