Director, Machine Learning Engineering, Ads Quality
Core
Lead a broad portfolio of Ads Quality modeling teams to build machine-learning systems that make ads relevant and valuable, optimizing for engagement, conversion, ROAS, and ranking.
Role type
Director, Machine Learning Engineering (Ads Quality)
Builds
Production ML systems for engagement ranking, oCPM, conversion modeling, ROAS optimization, lightweight ranking/retrieval, foundation models, and multimodal representations.
Domain
Advertising, Recommendation Systems, Machine Learning
Deliverable
production ML models
Required skills
Strategic technical vision, team leadership (managers and engineers), deep learning, recommender systems, sequence models, embeddings, multimodal models, multi-task learning, foundation models, distillation, reinforcement learning, conversion/value optimization, online experimentation, production ML operations, organizational development.
Preferred skills
Conversion/ROAS/bidding optimization experience, connecting offline metrics to online business outcomes.
Technologies
Foundation models, distillation, long-context sequence modeling, multimodal representations, cross-domain learning.
Responsibilities
Set multi-year technical strategy, lead engineering managers and ML engineers, establish modeling roadmap, drive model quality improvements, guide evolution toward larger architectures, ensure reliable production outcomes, partner with product/data teams, set expectations for latency/cost/privacy, improve engineering velocity, build high-performing culture, represent team in leadership forums.
Seniority
Director, hands-on IC with management responsibilities
