Director of Machine Learning Engineering (Ads Quality)

Join Pinterest as the Director of Machine Learning Engineering (Ads Quality). In this role, you will lead a portfolio of Ads Quality modeling teams, shape and drive a unified technical strategy, and establish a coherent modeling roadmap. You will also drive improvements in model quality, guide the evolution of Ads models, and ensure reliable production outcomes. Additionally, you will partner closely with various teams, improve engineering velocity, build a culture of technical excellence, and represent Ads Quality ML in senior leadership forums.

USD 314,580 - 550,515

Responsibilities

• Conduire une stratégie technique unifiée pour l'Ads Quality, en dirigeant les équipes responsables de divers aspects du modélisation.
• Établir une feuille de route de modélisation cohérente et diriger les améliorations de la qualité des modèles.
• Collaborer étroitement avec les équipes produit et scientifique pour garantir que les investissements en modélisation se traduisent par des résultats fiables en production.
• Strong understanding of modern deep-learning and recommender-system techniques, including sequence models, embeddings, multimodal models, multi-task learning, foundation models, distillation, and reinforcement learning

Requirements

• Minimum 12 years of experience building and deploying machine-learning systems, including significant experience leading managers and multi-team organizations
• Proven ability to connect modeling objectives and offline metrics to online experiments and business outcomes
• Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent experience; advanced degree preferred
• Experience operating production ML systems with demanding requirements for latency, availability, calibration, privacy, reliability, and cost
• Excellent communication and collaboration skills, with the ability to influence across organizational boundaries
• Track record of building high-performing organizations, developing senior leaders, and creating effective operating mechanisms
• Strong judgment in balancing near-term product delivery with foundational technical investments

Preferred

• Experience with conversion, value, ROAS, bidding, or other lower-funnel optimization problems is strongly preferred
• Demonstrated success leading large-scale recommendation, ranking, advertising, search, marketplace, or personalization ML teams