Manager II, Machine Learning Engineering-Content Foundation
Core
Lead a team of engineers and applied scientists to build foundational content understanding systems, semantic signal generation, and scalable ML infrastructure for Pinterest's Discovery, Search, Growth, and Ads products.
Role type
Senior Engineering Manager (Machine Learning)
Builds
Scalable content understanding systems, reusable foundational layers (captions, summaries, semantic descriptors), and model-powered infrastructure.
Domain
Social Media, Content Understanding, Large Multimodal Models (VLM/LLM)
Deliverable
production ML models
Required skills
Team leadership and mentorship, technical vision for semantic signal generation, distributed training and inference of LLM/VLM models, distributed ML data pipelines (Hadoop, Spark), GenAI model development, cross-functional stakeholder management, roadmap planning, productionization of ML systems.
Preferred skills
Publications at top ML conferences (NeurIPS, ICML, KDD, SIGIR), experience with ambiguous ML projects, building robust monitoring and evaluation systems.
Technologies
LLM, VLM, Hadoop, Spark
Responsibilities
Lead and mentor engineers in developing content understanding signals; set long-term technical vision for semantic layers; manage project execution and stakeholder communication; solve technical challenges in inference throughput and serving efficiency; measure downstream impact on relevance and ads performance; build robust monitoring and debugging systems.
Seniority
Senior, hands-on IC with management responsibilities
