Senior Machine Learning Scientist - Ads Marketplace Optimization

Apple • Cupertino, CA

88d

About The Position

At Apple, we strive every day to create products that enrich people’s lives. Apple Ads enables users worldwide to discover new content seamlessly while empowering publishers and developers to promote and monetize their work. Our technology powers advertising in the App Store and Apple News, delivering highly-performant, privacy-first solutions that set new industry standards. 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. You will be responsible for designing algorithms and systems for ads marketplace optimization and work closely with business partners to help drive the development of new products as well as perform large scale and complex experiments to understand their effects. You will drive strategic outcomes through substantial innovation in multiple fields by leading the development and application of advanced techniques and algorithms to improve our ad network. You have a deep understanding of the ad network behavior, and will work with product management and business leadership to prioritize an innovation roadmap across multiple technical domains. You will lead the conception, development, and delivery of state of the art capabilities that differentiate our products and are core to our business.

Requirements

• 10+ years of experience working in online advertising and marketplace design.
• Domain expert in ads auction design, budget and bid optimization.
• Experience in auction theory, mechanism design, optimization, statistics, machine learning, quantitative methods, control systems, or reinforcement learning.
• Ability to apply and implement research concepts in production quality code.
• Experience defining clear, testable research hypotheses.
• Deep knowledge of design of experiments and online experimentation approaches.
• Ability to advocate for R&D objectives and results to cross-functional team members.
• Experience contributing and/or reviewing research for top conferences and publications.
• Deep fluency in Java or Python.
• Experience with Spark, Hadoop or other distributed frameworks.
• MS in Economics, Operations Research, Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field.

Nice To Haves

• PhD in Economics, Operations Research, Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field.

Responsibilities

• Design and build the next generation algorithms for core auction system that powers our advertising platform.
• Drive optimal outcomes for advertisers, users, and the platform.
• Build next generation solutions for marketplace optimization.
• Guide teams in building solutions for marketplace optimization.
• Work with cross functional business partners to set strategy and bring end-to-end solutions.
• Apply state of the art techniques in a fast growing business.
• Impact publishers, developers, and Apple users at a global scale.

What This Job Offers

• Number of Employees: 5,001-10,000 employees