Staff Machine Learning Engineer - Ads Bidding & Pacing
Core
Design and build scalable solutions for budget and bid optimization to drive optimal campaign performance and advertiser experience on Apple Ads.
Role type
Staff Machine Learning Engineer (Ads Bidding & Pacing)
Builds
Next-generation solutions for budget and bid optimization enabling optimal campaign performance at global scale.
Domain
Advertising technology, machine learning, quantitative optimization
Deliverable
production ML models
Required skills
Machine learning, quantitative optimization, control systems, reinforcement learning, production code implementation, research hypothesis formulation, design of experiments, online experimentation, Java, Python, Spark, Hadoop, distributed frameworks
Preferred skills
Ads optimization, recommendations, search relevance optimization
Responsibilities
Develop models and systems to improve the ad platform, generate high-quality ad recommendations, perform large-scale complex experiments, lead development of advanced techniques and algorithms, work with product management to prioritize innovation roadmap, lead conception and delivery of state-of-the-art capabilities, set strategy and bring end-to-end solutions that scale
Seniority
Staff, hands-on IC with strategic leadership
