Machine Learning Scientist - Ads Auction

Apple • Cupertino, CA

75d

About The Position

At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising is done right, it benefits everyone! We are seeking a self-motivated individual that will build out the next generation of our ads platforms and ensure that Apple provides the most relevant and high quality ads experience while maintaining a healthy marketplace.

Requirements

• Strong background in auction theory, applied machine learning, and large-scale systems.
• Hands-on experience building and optimizing auction-based ad delivery systems in production.
• Excellent understanding of scalable architectures.
• Ability to thrive working in Agile environments.
• Ability to be a great teammate under tight deadline constraints.

Nice To Haves

• Experience in ads optimization, recommendations, or search relevance optimization.
• MS or PhD in Economics, Operations Research, Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field.
• Experience building production systems or equivalent experience working with large data science / machine learning projects in industry.

Responsibilities

• Design, analyze, and optimize the core auction system that powers our advertising platform.
• Develop production code to generate high quality ad recommendations.
• Work closely with business partners to help drive the development of new products.
• Perform large scale and complex experiments to understand their effects.
• Drive strategic outcomes through substantial innovation in multiple fields.
• Lead the development and application of advanced techniques and algorithms to improve our ad network.
• Develop a deep understanding of the ad network behavior.
• Work with product management and business leadership to prioritize an innovation roadmap across multiple technical domains.
• Lead the conception, development, and delivery of state of the art capabilities that differentiate our products and are core to our business.

What This Job Offers

• Industry: Computer and Electronic Product Manufacturing
• Number of Employees: 5,001-10,000 employees